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ORCIDNoah A. Smith
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- affiliation: University of Washington, Seattle, WA, USA
- affiliation: Allen Institute for AI, Seattle, WA, USA
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2026
[i240]Hao Xu, Alisa Liu, Jonathan Hayase, Yejin Choi, Noah A. Smith:
Are you going to finish that? A Practical Study of the Tokenization Boundary Problem. CoRR abs/2601.23223 (2026)- [i239]Min Jang, Orevaoghene Ahia, Nazif Tamer, Sachin Kumar, Yulia Tsvetkov, Noah A. Smith:
BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning. CoRR abs/2602.04085 (2026) - [i238]Joesph An, Phillip Keung, Jiaqi Wang, Orevaoghene Ahia, Noah A. Smith:
Frame-Level Internal Tool Use for Temporal Grounding in Audio LMs. CoRR abs/2602.10230 (2026) - [i237]Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi:
Meta-Reinforcement Learning with Self-Reflection for Agentic Search. CoRR abs/2603.11327 (2026) - 2025
- [j35]Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov:
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. Trans. Assoc. Comput. Linguistics 13: 121-141 (2025) - [c310]Jiacheng Liu, Taylor Blanton, Yanai Elazar
, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge:
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. ACL (3) 2025: 178-188 - [c309]Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. ACL (1) 2025: 7162-7200 - [c308]Tuochao Chen, Nicholas Scott Batchelder, Alisa Liu, Noah A. Smith, Shyamnath Gollakota:
LlamaPIE: Proactive In-Ear Conversation Assistants. ACL (Findings) 2025: 13801-13824 - [c307]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. CVPR 2025: 91-104 - [c306]Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma:
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation. CVPR 2025: 13326-13336 - [c305]Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi:
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index. EMNLP 2025: 24944-24969 - [c304]Jack Merullo, Noah A. Smith, Sarah Wiegreffe, Yanai Elazar:
On Linear Representations and Pretraining Data Frequency in Language Models. ICLR 2025 - [c303]Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang:
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. ICLR 2025 - [c302]Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge:
DataDecide: How to Predict Best Pretraining Data with Small Experiments. ICML 2025 - [c301]Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith:
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. NAACL (Long Papers) 2025: 785-798 - [c300]Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi:
RewardBench: Evaluating Reward Models for Language Modeling. NAACL (Findings) 2025: 1755-1797 - [c299]Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi:
ComPO: Community Preferences for Language Model Personalization. NAACL (Long Papers) 2025: 8246-8279 - [i236]Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
2 OLMo 2 Furious. CoRR abs/2501.00656 (2025) - [i235]Alisa Liu, Jonathan Hayase, Valentin Hofmann, Sewoong Oh, Noah A. Smith, Yejin Choi:
SuperBPE: Space Travel for Language Models. CoRR abs/2503.13423 (2025) - [i234]Gonçalo Faria, Noah A. Smith:
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models. CoRR abs/2504.03790 (2025) - [i233]Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge:
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. CoRR abs/2504.07096 (2025) - [i232]Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge:
DataDecide: How to Predict Best Pretraining Data with Small Experiments. CoRR abs/2504.11393 (2025) - [i231]Jack Merullo, Noah A. Smith, Sarah Wiegreffe, Yanai Elazar:
On Linear Representations and Pretraining Data Frequency in Language Models. CoRR abs/2504.12459 (2025) - [i230]Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma:
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation. CoRR abs/2504.18509 (2025) - [i229]Orevaoghene Ahia, Martijn Bartelds, Kabir Ahuja, Hila Gonen, Valentin Hofmann, Siddhant Arora, Shuyue Stella Li, Vishal Puttagunta, Mofetoluwa Adeyemi, Charishma Buchireddy, Ben Walls, Noah Bennett, Shinji Watanabe, Noah A. Smith, Yulia Tsvetkov, Sachin Kumar:
BLAB: Brutally Long Audio Bench. CoRR abs/2505.03054 (2025) - [i228]Tuochao Chen, Nicholas Batchelder, Alisa Liu, Noah A. Smith, Shyamnath Gollakota:
LLAMAPIE: Proactive In-Ear Conversation Assistants. CoRR abs/2505.04066 (2025) - [i227]Long Cheng, Jiafei Duan, Yi Ru Wang, Haoquan Fang, Boyang Li, Yushan Huang, Elvis Wang, Ainaz Eftekhar, Jason Lee, Wentao Yuan, Rose Hendrix, Noah A. Smith, Fei Xia, Dieter Fox, Ranjay Krishna:
PointArena: Probing Multimodal Grounding Through Language-Guided Pointing. CoRR abs/2505.09990 (2025) - [i226]Jihan Yao, Yushi Hu, Yujie Yi, Bin Han, Shangbin Feng, Guang Yang, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu:
MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. CoRR abs/2505.17613 (2025) - [i225]Saumya Malik, Valentina Pyatkin, Sander Land, Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Nathan Lambert:
RewardBench 2: Advancing Reward Model Evaluation. CoRR abs/2506.01937 (2025) - [i224]Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi:
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index. CoRR abs/2506.12229 (2025) - [i223]Jonathan Hayase, Alisa Liu, Noah A. Smith, Sewoong Oh:
Sampling from Your Language Model One Byte at a Time. CoRR abs/2506.14123 (2025) - [i222]Brian Siyuan Zheng, Alisa Liu, Orevaoghene Ahia, Jonathan Hayase, Yejin Choi, Noah A. Smith:
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations. CoRR abs/2506.19004 (2025) - [i221]Guang Yang, Victoria Ebert, Nazif Tamer, Luiza Pozzobon, Noah A. Smith:
LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR. CoRR abs/2506.19065 (2025) - [i220]Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min:
FlexOlmo: Open Language Models for Flexible Data Use. CoRR abs/2507.07024 (2025) - [i219]David Heineman, Valentin Hofmann, Ian Magnusson, Yuling Gu, Noah A. Smith, Hannaneh Hajishirzi, Kyle Lo, Jesse Dodge:
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation. CoRR abs/2508.13144 (2025) - [i218]Valentin Hofmann, David Heineman, Ian Magnusson, Kyle Lo, Jesse Dodge, Maarten Sap, Pang Wei Koh, Chun Wang, Hannaneh Hajishirzi, Noah A. Smith:
Fluid Language Model Benchmarking. CoRR abs/2509.11106 (2025) - [i217]Rahul Nadkarni, Yanai Elazar, Hila Gonen, Noah A. Smith:
Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model Behavior. CoRR abs/2510.14261 (2025) - [i216]Victoria Ebert, Rishabh Singh, Tuochao Chen, Noah A. Smith, Shyamnath Gollakota:
Reading Between the Lines: The One-Sided Conversation Problem. CoRR abs/2511.03056 (2025) - [i215]Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
Olmo 3. CoRR abs/2512.13961 (2025) - [i214]Benjamin Minixhofer, Tyler Murray, Tomasz Limisiewicz, Anna Korhonen, Luke Zettlemoyer, Noah A. Smith, Edoardo M. Ponti, Luca Soldaini, Valentin Hofmann:
Bolmo: Byteifying the Next Generation of Language Models. CoRR abs/2512.15586 (2025) - 2024
- [j34]Alexis Palmer, Noah A. Smith, Arthur Spirling:
Using proprietary language models in academic research requires explicit justification. Nat. Comput. Sci. 4(1): 2-3 (2024) - [j33]Judit Ács, Endre Hamerlik, Roy Schwartz, Noah A. Smith, András Kornai:
Morphosyntactic probing of multilingual BERT models. Nat. Lang. Eng. 30(4): 753-792 (2024) - [c298]Kai Nylund, Suchin Gururangan, Noah A. Smith:
Time is Encoded in the Weights of Finetuned Language Models. ACL (1) 2024: 2571-2587 - [c297]Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith:
Set the Clock: Temporal Alignment of Pretrained Language Models. ACL (Findings) 2024: 15015-15040 - [c296]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) 2024: 15725-15788 - [c295]Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. ACL (1) 2024: 15789-15809 - [c294]Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke:
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience. CHI 2024: 14:1-14:26 - [c293]Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith:
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR 2024: 913-933 - [c292]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith:
A Call for Clarity in Beam Search: How It Works and When It Stops. LREC/COLING 2024: 77-90 - [c291]Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna:
BLINK: Multimodal Large Language Models Can See but Not Perceive. ECCV (23) 2024: 148-166 - [c290]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. EMNLP (Findings) 2024: 3603-3623 - [c289]Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov:
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects. EMNLP 2024: 4392-4409 - [c288]Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer:
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. EMNLP 2024: 10822-10837 - [c287]William Merrill, Noah A. Smith, Yanai Elazar:
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG. EMNLP 2024: 14459-14473 - [c286]Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi:
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. EMNLP (Findings) 2024: 15604-15621 - [c285]Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge:
What's In My Big Data? ICLR 2024 - [c284]Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer:
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. ICLR 2024 - [c283]Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis:
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR 2024 - [c282]Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith:
How Language Model Hallucinations Can Snowball. ICML 2024: 59670-59684 - [c281]Guang Yang, Muru Zhang, Lin Qiu, Yanming Wan, Noah A. Smith:
Toward a More Complete OMR Solution. ISMIR 2024: 930-937 - [c280]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith:
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. NeurIPS 2024 - [c279]Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi:
The Art of Saying No: Contextual Noncompliance in Language Models. NeurIPS 2024 - [c278]Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith:
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions. NeurIPS 2024 - [c277]Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna:
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. NeurIPS 2024 - [c276]Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hanna Hajishirzi:
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. NeurIPS 2024 - [c275]Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hanna Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge:
Paloma: A Benchmark for Evaluating Language Model Fit. NeurIPS 2024 - [c274]Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hanna Hajishirzi, Noah A. Smith, Simon S. Du:
Decoding-Time Language Model Alignment with Multiple Objectives. NeurIPS 2024 - [c273]Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson:
Evaluating Copyright Takedown Methods for Language Models. NeurIPS 2024 - [i213]Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith:
Tuning Language Models by Proxy. CoRR abs/2401.08565 (2024) - [i212]Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer:
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. CoRR abs/2401.10440 (2024) - [i211]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - [i210]Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - [i209]Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith:
Set the Clock: Temporal Alignment of Pretrained Language Models. CoRR abs/2402.16797 (2024) - [i208]Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke:
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience. CoRR abs/2403.04979 (2024) - [i207]Rahul Nadkarni, Yizhong Wang, Noah A. Smith:
Third-Party Language Model Performance Prediction from Instruction. CoRR abs/2403.12413 (2024) - [i206]Bo-Ru Lu, Nikita Haduong, Chien-Yu Lin, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Encode Once and Decode in Parallel: Efficient Transformer Decoding. CoRR abs/2403.13112 (2024) - [i205]Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi:
RewardBench: Evaluating Reward Models for Language Modeling. CoRR abs/2403.13787 (2024) - [i204]Margaret Y. Li, Alisa Liu, Zhaofeng Wu, Noah A. Smith:
A Taxonomy of Ambiguity Types for NLP. CoRR abs/2403.14072 (2024) - [i203]Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna:
BLINK: Multimodal Large Language Models Can See but Not Perceive. CoRR abs/2404.12390 (2024) - [i202]Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov:
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. CoRR abs/2404.16367 (2024) - [i201]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i200]Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. CoRR abs/2406.09279 (2024) - [i199]Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna:
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. CoRR abs/2406.09403 (2024) - [i198]William Merrill, Noah A. Smith, Yanai Elazar:
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG. CoRR abs/2406.13069 (2024) - [i197]Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson:
Evaluating Copyright Takedown Methods for Language Models. CoRR abs/2406.18664 (2024) - [i196]Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du:
Decoding-Time Language Model Alignment with Multiple Objectives. CoRR abs/2406.18853 (2024) - [i195]Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov:
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects. CoRR abs/2406.19564 (2024) - [i194]Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang:
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR abs/2407.06460 (2024) - [i193]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith:
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. CoRR abs/2407.08818 (2024) - [i192]Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR abs/2407.12043 (2024) - [i191]Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith:
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? CoRR abs/2407.16607 (2024) - [i190]Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith:
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. CoRR abs/2408.06518 (2024) - [i189]Nikita Haduong, Irene Wang, Bo-Ru Lu, Prithviraj Ammanabrolu, Noah A. Smith:
CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks. CoRR abs/2408.08853 (2024) - [i188]Nikita Haduong, Alice Gao, Noah A. Smith:
Risks and NLP Design: A Case Study on Procedural Document QA. CoRR abs/2408.11860 (2024) - [i187]Guang Yang, Muru Zhang, Lin Qiu, Yanming Wan, Noah A. Smith:
Toward a More Complete OMR Solution. CoRR abs/2409.00316 (2024) - [i186]Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi:
OLMoE: Open Mixture-of-Experts Language Models. CoRR abs/2409.02060 (2024) - [i185]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - [i184]Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi:
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. CoRR abs/2410.12937 (2024) - [i183]Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi:
ComPO: Community Preferences for Language Model Personalization. CoRR abs/2410.16027 (2024) - [i182]Nikita Haduong, Noah A. Smith:
Raising the Stakes: Performance Pressure Improves AI-Assisted Decision Making. CoRR abs/2410.16560 (2024) - [i181]Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. CoRR abs/2410.19133 (2024) - [i180]Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi:
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. CoRR abs/2411.15124 (2024) - [i179]Akshita Bhagia, Jiacheng Liu, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh Jha, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi:
Establishing Task Scaling Laws via Compute-Efficient Model Ladders. CoRR abs/2412.04403 (2024) - 2023
- [j32]Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith:
Transparency Helps Reveal When Language Models Learn Meaning. Trans. Assoc. Comput. Linguistics 11: 617-634 (2023) - [c272]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) 2023: 1102-1121 - [c271]Nikita Haduong, Alice Gao, Noah A. Smith:
Risks and NLP Design: A Case Study on Procedural Document QA. ACL (Findings) 2023: 1248-1269 - [c270]Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith:
Elaboration-Generating Commonsense Question Answering at Scale. ACL (1) 2023: 1619-1635 - [c269]Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. ACL (2) 2023: 1723-1730 - [c268]Sofia Serrano, Jesse Dodge, Noah A. Smith:
Stubborn Lexical Bias in Data and Models. ACL (Findings) 2023: 8131-8146 - [c267]Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. ACL (Findings) 2023: 9036-9061 - [c266]Ian Magnusson, Noah A. Smith, Jesse Dodge:
Reproducibility in NLP: What Have We Learned from the Checklist? ACL (Findings) 2023: 12789-12811 - [c265]Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Models with Self-Generated Instructions. ACL (1) 2023: 13484-13508 - [c264]Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP 2023: 790-807 - [c263]Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. EMNLP 2023: 1264-1287 - [c262]Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith:
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? EMNLP (Findings) 2023: 4555-4569 - [c261]Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis:
Measuring and Narrowing the Compositionality Gap in Language Models. EMNLP (Findings) 2023: 5687-5711 - [c260]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP 2023: 9904-9923 - [c259]Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer:
Demystifying Prompts in Language Models via Perplexity Estimation. EMNLP (Findings) 2023: 10136-10148 - [c258]Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo:
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. ICCV 2023: 2951-2963 - [c257]Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith:
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV 2023: 20349-20360 - [c256]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. ICLR 2023 - [c255]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR 2023 - [c254]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? NeurIPS 2023 - [c253]Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi:
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS 2023 - [c252]Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi:
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. NeurIPS 2023 - [c251]Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith:
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL 2023: 207-216 - [i178]Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. CoRR abs/2301.04761 (2023) - [i177]Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith:
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR abs/2303.11897 (2023) - [i176]Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer:
Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR abs/2303.14177 (2023) - [i175]Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR abs/2304.14399 (2023) - [i174]Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. CoRR abs/2305.03695 (2023) - [i173]Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith:
How Language Model Hallucinations Can Snowball. CoRR abs/2305.13534 (2023) - [i172]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR abs/2305.13707 (2023) - [i171]Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi:
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. CoRR abs/2306.01693 (2023) - [i170]Sofia Serrano, Jesse Dodge, Noah A. Smith:
Stubborn Lexical Bias in Data and Models. CoRR abs/2306.02190 (2023) - [i169]Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi:
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR abs/2306.04751 (2023) - [i168]Judit Ács, Endre Hamerlik, Roy Schwartz, Noah A. Smith, András Kornai:
Morphosyntactic probing of multilingual BERT models. CoRR abs/2306.06205 (2023) - [i167]Ian Magnusson, Noah A. Smith, Jesse Dodge:
Reproducibility in NLP: What Have We Learned from the Checklist? CoRR abs/2306.09562 (2023) - [i166]Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith:
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR abs/2306.13891 (2023) - [i165]Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf:
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. CoRR abs/2307.07047 (2023) - [i164]Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi:
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR abs/2307.09701 (2023) - [i163]Sewon Min, Suchin Gururangan, Eric Wallace, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer:
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. CoRR abs/2308.04430 (2023) - [i162]Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis:
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR abs/2310.10638 (2023) - [i161]Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith:
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? CoRR abs/2310.14610 (2023) - [i160]Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge:
What's In My Big Data? CoRR abs/2310.20707 (2023) - [i159]Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models. CoRR abs/2311.08593 (2023) - [i158]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR abs/2311.09605 (2023) - [i157]Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi:
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR abs/2311.10702 (2023) - [i156]Sofia Serrano, Zander Brumbaugh, Noah A. Smith:
Language Models: A Guide for the Perplexed. CoRR abs/2311.17301 (2023) - [i155]Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge:
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR abs/2312.10523 (2023) - [i154]Kai Nylund, Suchin Gururangan, Noah A. Smith:
Time is Encoded in the Weights of Finetuned Language Models. CoRR abs/2312.13401 (2023) - 2022
- [j31]William Merrill, Ashish Sabharwal, Noah A. Smith:
Saturated Transformers are Constant-Depth Threshold Circuits. Trans. Assoc. Comput. Linguistics 10: 843-856 (2022) - [c250]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. ACL (1) 2022: 7250-7274 - [c249]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c248]Tal August, Katharina Reinecke, Noah A. Smith:
Generating Scientific Definitions with Controllable Complexity. ACL (1) 2022: 8298-8317 - [c247]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c246]Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz:
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) 2022: 1403-1416 - [c245]Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith:
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. EMNLP 2022: 2562-2580 - [c244]Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf:
In-Context Learning for Few-Shot Dialogue State Tracking. EMNLP (Findings) 2022: 2627-2643 - [c243]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c242]Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Unsupervised Learning of Hierarchical Conversation Structure. EMNLP (Findings) 2022: 5657-5670 - [c241]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. EMNLP (Findings) 2022: 6826-6847 - [c240]Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
Modeling Context With Linear Attention for Scalable Document-Level Translation. EMNLP (Findings) 2022: 6931-6939 - [c239]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP 2022: 11444-11458 - [c238]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT 2022: 1877-1894 - [c237]Ofir Press, Noah A. Smith, Mike Lewis:
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. ICLR 2022 - [c236]Daniel Edmiston, Phillip Keung, Noah A. Smith:
Domain Mismatch Doesn't Always Prevent Cross-lingual Transfer Learning. LREC 2022: 892-899 - [c235]Daniel Cheng, Kyle Yan, Phillip Keung, Noah A. Smith:
The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems. LREC 2022: 1885-1889 - [c234]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c233]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. NAACL-HLT 2022: 3464-3478 - [c232]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT 2022: 3540-3557 - [c231]Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer:
DEMix Layers: Disentangling Domains for Modular Language Modeling. NAACL-HLT 2022: 5557-5576 - [c230]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. NAACL-HLT 2022: 5884-5906 - [c229]Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith:
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. NAACL-HLT 2022: 5944-5958 - [i153]Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz:
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR abs/2201.02662 (2022) - [i152]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR abs/2201.05955 (2022) - [i151]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i150]Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith:
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. CoRR abs/2201.10474 (2022) - [i149]Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf:
In-Context Learning for Few-Shot Dialogue State Tracking. CoRR abs/2203.08568 (2022) - [i148]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i147]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i146]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i145]Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Unsupervised Learning of Hierarchical Conversation Structure. CoRR abs/2205.12244 (2022) - [i144]Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan:
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR abs/2206.05229 (2022) - [i143]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i142]Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer:
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. CoRR abs/2208.03306 (2022) - [i141]Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith:
Elaboration-Generating Commonsense Question Answering at Scale. CoRR abs/2209.01232 (2022) - [i140]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. CoRR abs/2209.01975 (2022) - [i139]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i138]Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis:
Measuring and Narrowing the Compositionality Gap in Language Models. CoRR abs/2210.03350 (2022) - [i137]Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith:
Transparency Helps Reveal When Language Models Learn Meaning. CoRR abs/2210.07468 (2022) - [i136]Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
Modeling Context With Linear Attention for Scalable Document-Level Translation. CoRR abs/2210.08431 (2022) - [i135]Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz:
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR abs/2211.03495 (2022) - [i134]Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo:
PromptCap: Prompt-Guided Task-Aware Image Captioning. CoRR abs/2211.09699 (2022) - [i133]Daniel Edmiston, Phillip Keung, Noah A. Smith:
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning. CoRR abs/2211.16671 (2022) - [i132]Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. CoRR abs/2212.00196 (2022) - [i131]Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer:
Demystifying Prompts in Language Models via Perplexity Estimation. CoRR abs/2212.04037 (2022) - [i130]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR abs/2212.09741 (2022) - [i129]Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Model with Self Generated Instructions. CoRR abs/2212.10560 (2022) - 2021
- [j30]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. Trans. Assoc. Comput. Linguistics 9: 226-242 (2021) - [j29]William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand? Trans. Assoc. Comput. Linguistics 9: 1047-1060 (2021) - [c228]Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. ACL/IJCNLP (Findings) 2021: 944-956 - [c227]Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Explaining Relationships Between Scientific Documents. ACL/IJCNLP (1) 2021: 2130-2144 - [c226]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. ACL/IJCNLP (1) 2021: 5493-5505 - [c225]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) 2021: 6691-6706 - [c224]Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith:
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. ACL/IJCNLP (1) 2021: 7282-7296 - [c223]Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. AKBC 2021 - [c222]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith:
Challenges in Automated Debiasing for Toxic Language Detection. EACL 2021: 3143-3155 - [c221]Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? EMNLP (Findings) 2021: 820-842 - [c220]William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent. EMNLP (1) 2021: 1766-1781 - [c219]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) 2021: 1801-1813 - [c218]Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. EMNLP (1) 2021: 1822-1831 - [c217]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. EMNLP (Findings) 2021: 4066-4073 - [c216]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. EMNLP (1) 2021: 10266-10284 - [c215]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. EMNLP (1) 2021: 10630-10643 - [c214]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. ICLR 2021 - [c213]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. ICLR 2021 - [c212]Elizabeth Clark, Noah A. Smith:
Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models. NAACL-HLT 2021: 3566-3575 - [c211]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT 2021: 4599-4610 - [i128]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i127]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. CoRR abs/2102.00086 (2021) - [i126]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. CoRR abs/2103.02143 (2021) - [i125]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. CoRR abs/2103.13076 (2021) - [i124]Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? CoRR abs/2104.07885 (2021) - [i123]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR abs/2104.08646 (2021) - [i122]Rik Koncel-Kedziorski, Noah A. Smith:
Go Forth and Prosper: Language Modeling with Ancient Textual History. CoRR abs/2104.08742 (2021) - [i121]William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? CoRR abs/2104.10809 (2021) - [i120]Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR abs/2105.03011 (2021) - [i119]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR abs/2105.03023 (2021) - [i118]Ethan C. Chau, Noah A. Smith:
Specializing Multilingual Language Models: An Empirical Study. CoRR abs/2106.09063 (2021) - [i117]Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. CoRR abs/2106.09700 (2021) - [i116]William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
On the Power of Saturated Transformers: A View from Circuit Complexity. CoRR abs/2106.16213 (2021) - [i115]Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith:
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. CoRR abs/2107.00061 (2021) - [i114]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Scarecrow: A Framework for Scrutinizing Machine Text. CoRR abs/2107.01294 (2021) - [i113]Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer:
DEMix Layers: Disentangling Domains for Modular Language Modeling. CoRR abs/2108.05036 (2021) - [i112]Ofir Press, Noah A. Smith, Mike Lewis:
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. CoRR abs/2108.12409 (2021) - [i111]Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. CoRR abs/2109.00055 (2021) - [i110]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. CoRR abs/2110.00613 (2021) - [i109]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. CoRR abs/2110.02488 (2021) - [i108]Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith:
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. CoRR abs/2111.07408 (2021) - [i107]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. CoRR abs/2111.07997 (2021) - [i106]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. CoRR abs/2111.08940 (2021) - [i105]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR abs/2112.04139 (2021) - [i104]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - 2020
- [j28]Noah A. Smith:
Contextual word representations: putting words into computers. Commun. ACM 63(6): 66-74 (2020) - [j27]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. Commun. ACM 63(12): 54-63 (2020) - [j26]Marta R. Costa-jussà, Cristina España-Bonet, Pascale Fung, Noah A. Smith:
Multilingual and Interlingual Semantic Representations for Natural Language Processing: A Brief Introduction. Comput. Linguistics 46(2): 249-255 (2020) - [j25]Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. Frontiers Artif. Intell. 3: 34 (2020) - [j24]Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. Trans. Assoc. Comput. Linguistics 8: 828-841 (2020) - [c210]Tal August, Maarten Sap, Elizabeth Clark, Katharina Reinecke, Noah A. Smith:
Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus. NUSE@ACL 2020: 46-54 - [c209]William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav:
A Formal Hierarchy of RNN Architectures. ACL 2020: 443-459 - [c208]Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker:
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. ACL 2020: 1970-1978 - [c207]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. ACL 2020: 2996-3005 - [c206]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c205]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h - 1 Heads is Better than h Heads. ACL 2020: 6566-6577 - [c204]Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. ACL 2020: 6640-6651 - [c203]Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. ACL 2020: 8342-8360 - [c202]Tal August, Dallas Card, Gary Hsieh, Noah A. Smith, Katharina Reinecke:
Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science. CHI 2020: 1-12 - [c201]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. EMNLP (1) 2020: 1252-1267 - [c200]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c199]Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Treebank, and a Small Corpus. EMNLP (Findings) 2020: 1324-1334 - [c198]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. EMNLP (Findings) 2020: 2810-2829 - [c197]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. EMNLP (Findings) 2020: 3356-3369 - [c196]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. EMNLP (1) 2020: 4563-4568 - [c195]Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) 2020: 4661-4675 - [c194]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. EMNLP (1) 2020: 5012-5025 - [c193]Tal August, Lauren Kim, Katharina Reinecke, Noah A. Smith:
Writing Strategies for Science Communication: Data and Computational Analysis. EMNLP (1) 2020: 5327-5344 - [c192]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. EMNLP (1) 2020: 6076-6092 - [c191]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) 2020: 9275-9293 - [i103]Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. CoRR abs/2001.00329 (2020) - [i102]Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Citation Text Generation. CoRR abs/2002.00317 (2020) - [i101]Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR abs/2002.06305 (2020) - [i100]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i99]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i98]Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. CoRR abs/2004.07453 (2020) - [i97]William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav:
A Formal Hierarchy of RNN Architectures. CoRR abs/2004.08500 (2020) - [i96]Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. CoRR abs/2004.10964 (2020) - [i95]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h-1 Heads is Better than h Heads. CoRR abs/2005.06537 (2020) - [i94]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR abs/2006.10369 (2020) - [i93]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR abs/2009.10795 (2020) - [i92]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. CoRR abs/2009.11462 (2020) - [i91]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. CoRR abs/2009.11523 (2020) - [i90]Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank. CoRR abs/2009.14124 (2020) - [i89]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. CoRR abs/2010.01263 (2020) - [i88]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. CoRR abs/2010.02573 (2020) - [i87]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. CoRR abs/2010.02983 (2020) - [i86]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. CoRR abs/2010.07526 (2020) - [i85]Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. CoRR abs/2010.07761 (2020) - [i84]William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Parameter Norm Growth During Training of Transformers. CoRR abs/2010.09697 (2020) - [i83]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. CoRR abs/2010.12762 (2020) - [i82]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. CoRR abs/2012.05395 (2020) - [i81]Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. CoRR abs/2012.15793 (2020) - [i80]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. CoRR abs/2012.15832 (2020)
2010 – 2019
- 2019
- [j23]Kelvin Luu, Chenhao Tan, Noah A. Smith:
Measuring Online Debaters' Persuasive Skill from Text over Time. Trans. Assoc. Comput. Linguistics 7: 537-550 (2019) - [j22]Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 13(1): 1:1-1:29 (2019) - [c190]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c189]Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith:
The Risk of Racial Bias in Hate Speech Detection. ACL (1) 2019: 1668-1678 - [c188]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. ACL (1) 2019: 1679-1684 - [c187]Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith:
Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts. ACL (1) 2019: 2748-2760 - [c186]Sofia Serrano, Noah A. Smith:
Is Attention Interpretable? ACL (1) 2019: 2931-2951 - [c185]Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith:
Variational Pretraining for Semi-supervised Text Classification. ACL (1) 2019: 5880-5894 - [c184]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoNLL 2019: 304-315 - [c183]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) 2019: 43-54 - [c182]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) 2019: 1179-1184 - [c181]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c180]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. EMNLP/IJCNLP (1) 2019: 2185-2194 - [c179]Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. EMNLP/IJCNLP (1) 2019: 3642-3649 - [c178]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. EMNLP/IJCNLP (1) 2019: 4151-4161 - [c177]Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) 2019: 5924-5931 - [c176]Dallas Card, Michael Zhang, Noah A. Smith:
Deep Weighted Averaging Classifiers. FAT 2019: 369-378 - [c175]Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) 2019: 1073-1094 - [c174]Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. NAACL-HLT (1) 2019: 2171-2179 - [c173]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. NAACL-HLT (1) 2019: 3912-3918 - [c172]Matthew E. Peters, Sebastian Ruder, Noah A. Smith:
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. RepL4NLP@ACL 2019: 7-14 - [i79]Noah A. Smith:
Contextual Word Representations: A Contextual Introduction. CoRR abs/1902.06006 (2019) - [i78]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. CoRR abs/1902.09697 (2019) - [i77]Matthew E. Peters, Sebastian Ruder, Noah A. Smith:
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. CoRR abs/1903.05987 (2019) - [i76]Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. CoRR abs/1903.08855 (2019) - [i75]Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. CoRR abs/1904.02668 (2019) - [i74]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. CoRR abs/1906.00591 (2019) - [i73]Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith:
Variational Pretraining for Semi-supervised Text Classification. CoRR abs/1906.02242 (2019) - [i72]Sofia Serrano, Noah A. Smith:
Is Attention Interpretable? CoRR abs/1906.03731 (2019) - [i71]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. CoRR abs/1907.10597 (2019) - [i70]Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR abs/1908.05803 (2019) - [i69]Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith:
Shallow Syntax in Deep Water. CoRR abs/1908.11047 (2019) - [i68]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. CoRR abs/1909.00453 (2019) - [i67]Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. CoRR abs/1909.02134 (2019) - [i66]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. CoRR abs/1909.02244 (2019) - [i65]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. CoRR abs/1909.03004 (2019) - [i64]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. CoRR abs/1909.03011 (2019) - [i63]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. CoRR abs/1909.04164 (2019) - [i62]Deric Pang, Lucy H. Lin, Noah A. Smith:
Improving Natural Language Inference with a Pretrained Parser. CoRR abs/1909.08217 (2019) - [i61]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoRR abs/1909.08744 (2019) - [i60]Lucy H. Lin, Noah A. Smith:
Situating Sentence Embedders with Nearest Neighbor Overlap. CoRR abs/1909.10724 (2019) - [i59]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. CoRR abs/1911.03864 (2019) - [i58]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR abs/1911.03891 (2019) - 2018
- [j21]Tal August, Nigini Oliveira, Chenhao Tan, Noah A. Smith, Katharina Reinecke:
Framing Effects: Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases. Proc. ACM Hum. Comput. Interact. 2(CSCW): 22:1-22:19 (2018) - [c171]Roy Schwartz, Sam Thomson, Noah A. Smith:
Bridging CNNs, RNNs, and Weighted Finite-State Machines. ACL (1) 2018: 295-305 - [c170]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. ACL (1) 2018: 463-473 - [c169]Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith:
Polyglot Semantic Role Labeling. ACL (2) 2018: 667-672 - [c168]Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. ACL (1) 2018: 1863-1873 - [c167]Dallas Card, Chenhao Tan, Noah A. Smith:
Neural Models for Documents with Metadata. ACL (1) 2018: 2031-2040 - [c166]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP 2018: 369-379 - [c165]Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith:
Rational Recurrences. EMNLP 2018: 1203-1214 - [c164]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. EMNLP 2018: 3772-3782 - [c163]Lucy H. Lin, Scott B. Miles, Noah A. Smith:
Natural Language Processing for Analyzing Disaster Recovery Trends Expressed in Large Text Corpora. GHTC 2018: 1-8 - [c162]Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith:
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. IUI 2018: 329-340 - [c161]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) 2018: 96-100 - [c160]Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith:
Annotation Artifacts in Natural Language Inference Data. NAACL-HLT (2) 2018: 107-112 - [c159]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. NAACL-HLT 2018: 965-975 - [c158]Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. NAACL-HLT 2018: 1492-1502 - [c157]Dallas Card, Noah A. Smith:
The Importance of Calibration for Estimating Proportions from Annotations. NAACL-HLT 2018: 1636-1646 - [c156]Elizabeth Clark, Yangfeng Ji, Noah A. Smith:
Neural Text Generation in Stories Using Entity Representations as Context. NAACL-HLT 2018: 2250-2260 - [c155]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL 2018: 180-186 - [c154]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. WWW 2018: 945-954 - [i57]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. CoRR abs/1802.08690 (2018) - [i56]Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith:
Annotation Artifacts in Natural Language Inference Data. CoRR abs/1803.02324 (2018) - [i55]Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. CoRR abs/1804.05990 (2018) - [i54]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. CoRR abs/1804.08228 (2018) - [i53]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR abs/1804.10202 (2018) - [i52]Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. CoRR abs/1805.04658 (2018) - [i51]Roy Schwartz, Sam Thomson, Noah A. Smith:
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines. CoRR abs/1805.06061 (2018) - [i50]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. CoRR abs/1805.06939 (2018) - [i49]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. CoRR abs/1805.10399 (2018) - [i48]Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith:
Polyglot Semantic Role Labeling. CoRR abs/1805.11598 (2018) - [i47]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. CoRR abs/1805.11653 (2018) - [i46]Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith:
Rational Recurrences. CoRR abs/1808.09357 (2018) - [i45]Lucy H. Lin, Scott B. Miles, Noah A. Smith:
Semantic Matching Against a Corpus: New Applications and Methods. CoRR abs/1808.09502 (2018) - [i44]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR abs/1808.09861 (2018) - [i43]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. CoRR abs/1808.10485 (2018) - [i42]Ofir Press, Noah A. Smith:
You May Not Need Attention. CoRR abs/1810.13409 (2018) - [i41]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. CoRR abs/1811.00146 (2018) - [i40]Dallas Card, Michael Zhang, Noah A. Smith:
Deep Weighted Averaging Classifiers. CoRR abs/1811.02579 (2018) - 2017
- [j20]Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith:
Greedy Transition-Based Dependency Parsing with Stack LSTMs. Comput. Linguistics 43(2): 311-347 (2017) - [j19]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1254-1264 (2017) - [c153]Chenhao Tan, Dallas Card, Noah A. Smith:
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. ACL (1) 2017: 773-783 - [c152]Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. ACL (1) 2017: 996-1005 - [c151]Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. ACL (1) 2017: 2037-2048 - [c150]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoNLL 2017: 15-25 - [c149]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
Story Cloze Task: UW NLP System. LSDSem@EACL 2017: 52-55 - [c148]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) 2017: 1249-1258 - [c147]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. EMNLP 2017: 1830-1839 - [c146]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH 2017: 954-958 - [i39]Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. CoRR abs/1702.01829 (2017) - [i38]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoRR abs/1702.01841 (2017) - [i37]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multi-task Learning with CTC and Segmental CRF for Speech Recognition. CoRR abs/1702.06378 (2017) - [i36]Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. CoRR abs/1704.06855 (2017) - [i35]Chenhao Tan, Dallas Card, Noah A. Smith:
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. CoRR abs/1704.07828 (2017) - [i34]Dallas Card, Chenhao Tan, Noah A. Smith:
A Neural Framework for Generalized Topic Models. CoRR abs/1705.09296 (2017) - [i33]Jesse Dodge, Catrìona Anderson, Noah A. Smith:
Random Search for Hyperparameters using Determinantal Point Processes. CoRR abs/1706.01566 (2017) - [i32]Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith:
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold. CoRR abs/1706.09528 (2017) - [i31]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. CoRR abs/1708.00531 (2017) - [i30]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. CoRR abs/1708.00781 (2017) - 2016
- [j18]Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Many Languages, One Parser. Trans. Assoc. Comput. Linguistics 4: 431-444 (2016) - [c145]Aaron Jaech, George Mulcaire, Mari Ostendorf, Noah A. Smith:
A Neural Model for Language Identification in Code-Switched Tweets. CodeSwitch@EMNLP 2016: 60-64 - [c144]Aaron Jaech, George Mulcaire, Shobhit Hathi, Mari Ostendorf, Noah A. Smith:
Hierarchical Character-Word Models for Language Identification. SocialNLP@EMNLP 2016: 84-93 - [c143]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL 2016: 187-197 - [c142]Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith:
Semi-Supervised Learning of Sequence Models with Method of Moments. EMNLP 2016: 287-296 - [c141]Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith:
Analyzing Framing through the Casts of Characters in the News. EMNLP 2016: 1410-1420 - [c140]Yanchuan Sim, Bryan R. Routledge, Noah A. Smith:
Friends with Motives: Using Text to Infer Influence on SCOTUS. EMNLP 2016: 1724-1733 - [c139]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. EMNLP 2016: 1744-1753 - [c138]Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Character Sequence Models for Colorful Words. EMNLP 2016: 1949-1954 - [c137]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack LSTM Parser. EMNLP 2016: 2005-2010 - [c136]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-End Speech Recognition. INTERSPEECH 2016: 385-389 - [c135]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. HLT-NAACL 2016: 199-209 - [c134]Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
Generation from Abstract Meaning Representation using Tree Transducers. HLT-NAACL 2016: 731-739 - [c133]Mohammad Javad Hosseini, Noah A. Smith, Su-In Lee:
UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields. SemEval@NAACL-HLT 2016: 931-936 - [c132]Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. SemEval@NAACL-HLT 2016: 1202-1206 - [c131]Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu:
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? WWW 2016: 133-143 - [c130]Lingpeng Kong, Chris Dyer, Noah A. Smith:
Segmental Recurrent Neural Networks. ICLR (Poster) 2016 - [i29]Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
One Parser, Many Languages. CoRR abs/1602.01595 (2016) - [i28]Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith:
Massively Multilingual Word Embeddings. CoRR abs/1602.01925 (2016) - [i27]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. CoRR abs/1602.07776 (2016) - [i26]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-end Speech Recognition. CoRR abs/1603.00223 (2016) - [i25]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack-LSTM Parser. CoRR abs/1603.03793 (2016) - [i24]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoRR abs/1606.08954 (2016) - [i23]Aaron Jaech, George Mulcaire, Shobhit Hathi, Mari Ostendorf, Noah A. Smith:
Hierarchical Character-Word Models for Language Identification. CoRR abs/1608.03030 (2016) - [i22]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. CoRR abs/1609.07561 (2016) - [i21]Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Character Sequence Models for ColorfulWords. CoRR abs/1609.08777 (2016) - [i20]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR abs/1611.05774 (2016) - 2015
- [j17]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
AD3: alternating directions dual decomposition for MAP inference in graphical models. J. Mach. Learn. Res. 16: 495-545 (2015) - [c129]Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith:
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning. AAAI 2015: 2246-2252 - [c128]Yanchuan Sim, Bryan R. Routledge, Noah A. Smith:
The Utility of Text: The Case of Amicus Briefs and the Supreme Court. AAAI 2015: 2311-2317 - [c127]Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime G. Carbonell, Noah A. Smith, Chris Dyer:
Frame-Semantic Role Labeling with Heterogeneous Annotations. ACL (2) 2015: 218-224 - [c126]Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. ACL (1) 2015: 334-343 - [c125]Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik, Noah A. Smith:
The Media Frames Corpus: Annotations of Frames Across Issues. ACL (2) 2015: 438-444 - [c124]Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. ACL (1) 2015: 1491-1500 - [c123]Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith:
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning. CoNLL 2015: 22-31 - [c122]David Bamman, Noah A. Smith:
Open Extraction of Fine-Grained Political Statements. EMNLP 2015: 76-85 - [c121]Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs. EMNLP 2015: 349-359 - [c120]Yanchuan Sim, Bryan R. Routledge, Noah A. Smith:
A Utility Model of Authors in the Scientific Community. EMNLP 2015: 1510-1519 - [c119]Dani Yogatama, Fei Liu, Noah A. Smith:
Extractive Summarization by Maximizing Semantic Volume. EMNLP 2015: 1961-1966 - [c118]Dani Yogatama, Lingpeng Kong, Noah A. Smith:
Bayesian Optimization of Text Representations. EMNLP 2015: 2100-2105 - [c117]Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith:
Learning Word Representations with Hierarchical Sparse Coding. ICML 2015: 87-96 - [c116]David Bamman, Noah A. Smith:
Contextualized Sarcasm Detection on Twitter. ICWSM 2015: 574-577 - [c115]Lingpeng Kong, Alexander M. Rush, Noah A. Smith:
Transforming Dependencies into Phrase Structures. HLT-NAACL 2015: 788-798 - [c114]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. HLT-NAACL 2015: 1077-1086 - [c113]Nathan Schneider, Noah A. Smith:
A Corpus and Model Integrating Multiword Expressions and Supersenses. HLT-NAACL 2015: 1537-1547 - [c112]Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith:
Retrofitting Word Vectors to Semantic Lexicons. HLT-NAACL 2015: 1606-1615 - [c111]Minghui Qiu, Yanchuan Sim, Noah A. Smith, Jing Jiang:
Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums. SDM 2015: 855-863 - [i19]Dani Yogatama, Noah A. Smith:
Bayesian Optimization of Text Representations. CoRR abs/1503.00693 (2015) - [i18]Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. CoRR abs/1505.08075 (2015) - [i17]Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith:
Sparse Overcomplete Word Vector Representations. CoRR abs/1506.02004 (2015) - [i16]Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs. CoRR abs/1508.00657 (2015) - [i15]Philip Massey, Patrick Xia, David Bamman, Noah A. Smith:
Annotating Character Relationships in Literary Texts. CoRR abs/1512.00728 (2015) - 2014
- [j16]Dipanjan Das, Desai Chen, André F. T. Martins, Nathan Schneider, Noah A. Smith:
Frame-Semantic Parsing. Comput. Linguistics 40(1): 9-56 (2014) - [j15]Kevin Gimpel, Noah A. Smith:
Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features. Comput. Linguistics 40(2): 349-401 (2014) - [j14]Dan Jurafsky, Victor Chahuneau, Bryan R. Routledge, Noah A. Smith:
Narrative framing of consumer sentiment in online restaurant reviews. First Monday 19(4) (2014) - [j13]Dani Yogatama, Chong Wang, Bryan R. Routledge, Noah A. Smith, Eric P. Xing:
Dynamic Language Models for Streaming Text. Trans. Assoc. Comput. Linguistics 2: 181-192 (2014) - [j12]Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith:
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut. Trans. Assoc. Comput. Linguistics 2: 193-206 (2014) - [j11]David Bamman, Noah A. Smith:
Unsupervised Discovery of Biographical Structure from Text. Trans. Assoc. Comput. Linguistics 2: 363-376 (2014) - [c110]Noah A. Smith, Claire Cardie, Anne L. Washington, John D. Wilkerson:
Overview of the 2014 NLP Unshared Task in PoliInformatics. LTCSS@ACL 2014: 5-7 - [c109]Michael T. Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith:
Simplified Dependency Annotations with GFL-Web. ACL (System Demonstrations) 2014: 121-126 - [c108]David Bamman, Ted Underwood, Noah A. Smith:
A Bayesian Mixed Effects Model of Literary Character. ACL (1) 2014: 370-379 - [c107]Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Unsupervised Alignment of Privacy Policies using Hidden Markov Models. ACL (2) 2014: 605-610 - [c106]Dani Yogatama, Noah A. Smith:
Linguistic Structured Sparsity in Text Categorization. ACL (1) 2014: 786-796 - [c105]David Bamman, Chris Dyer, Noah A. Smith:
Distributed Representations of Geographically Situated Language. ACL (2) 2014: 828-834 - [c104]Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith:
A Discriminative Graph-Based Parser for the Abstract Meaning Representation. ACL (1) 2014: 1426-1436 - [c103]Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith:
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. COLING 2014: 884-894 - [c102]Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith:
Weakly-Supervised Bayesian Learning of a CCG Supertagger. CoNLL 2014: 141-150 - [c101]Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith:
A Dependency Parser for Tweets. EMNLP 2014: 1001-1012 - [c100]Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. HCOMP 2014: 54-55 - [c99]Dani Yogatama, Noah A. Smith:
Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers. ICML 2014: 656-664 - [c98]Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T. Mordowanec, Henrietta Conrad, Noah A. Smith:
Comprehensive Annotation of Multiword Expressions in a Social Web Corpus. LREC 2014: 455-461 - [c97]Waleed Ammar, Chris Dyer, Noah A. Smith:
Conditional Random Field Autoencoders for Unsupervised Structured Prediction. NIPS 2014: 3311-3319 - [c96]Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith:
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. SemEval@COLING 2014: 176-180 - [e1]Cristian Danescu-Niculescu-Mizil, Jacob Eisenstein, Kathleen R. McKeown, Noah A. Smith:
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, Baltimore, MD, USA, June 26, 2014. Association for Computational Linguistics 2014, ISBN 978-1-941643-10-5 [contents] - [i14]Lingpeng Kong, Noah A. Smith:
An Empirical Comparison of Parsing Methods for Stanford Dependencies. CoRR abs/1404.4314 (2014) - [i13]Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith:
Learning Word Representations with Hierarchical Sparse Coding. CoRR abs/1406.2035 (2014) - [i12]Yanchuan Sim, Bryan R. Routledge, Noah A. Smith:
The Utility of Text: The Case of Amicus Briefs and the Supreme Court. CoRR abs/1409.7985 (2014) - [i11]Waleed Ammar, Chris Dyer, Noah A. Smith:
Conditional Random Field Autoencoders for Unsupervised Structured Prediction. CoRR abs/1411.1147 (2014) - [i10]Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith:
Retrofitting Word Vectors to Semantic Lexicons. CoRR abs/1411.4166 (2014) - 2013
- [j10]Noah A. Smith, André F. T. Martins:
Linguistic structure prediction with the sparseptron. XRDS 19(3): 44-48 (2013) - [c95]David Bamman, Brendan O'Connor, Noah A. Smith:
Learning Latent Personas of Film Characters. ACL (1) 2013: 352-361 - [c94]André F. T. Martins, Miguel B. Almeida, Noah A. Smith:
Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers. ACL (2) 2013: 617-622 - [c93]Brendan O'Connor, Brandon M. Stewart, Noah A. Smith:
Learning to Extract International Relations from Political Context. ACL (1) 2013: 1094-1104 - [c92]Nathan Schneider, Brendan O'Connor, Naomi Saphra, David Bamman, Manaal Faruqui, Noah A. Smith, Chris Dyer, Jason Baldridge:
A Framework for (Under)specifying Dependency Syntax without Overloading Annotators. LAW@ACL 2013: 51-60 - [c91]David Bamman, Adam Anderson, Noah A. Smith:
Inferring Social Rank in an Old Assyrian Trade Network. DH 2013: 101-104 - [c90]Yanchuan Sim, Brice D. L. Acree, Justin H. Gross, Noah A. Smith:
Measuring Ideological Proportions in Political Speeches. EMNLP 2013: 91-101 - [c89]Victor Chahuneau, Eva Schlinger, Noah A. Smith, Chris Dyer:
Translating into Morphologically Rich Languages with Synthetic Phrases. EMNLP 2013: 1677-1687 - [c88]Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang, Noah A. Smith:
Learning Topics and Positions from Debatepedia. EMNLP 2013: 1858-1868 - [c87]Tae Yano, Dani Yogatama, Noah A. Smith:
A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs. ICWSM 2013 - [c86]Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith:
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. HLT-NAACL 2013: 380-390 - [c85]Chris Dyer, Victor Chahuneau, Noah A. Smith:
A Simple, Fast, and Effective Reparameterization of IBM Model 2. HLT-NAACL 2013: 644-648 - [c84]Nathan Schneider, Behrang Mohit, Chris Dyer, Kemal Oflazer, Noah A. Smith:
Supersense Tagging for Arabic: the MT-in-the-Middle Attack. HLT-NAACL 2013: 661-667 - [c83]Victor Chahuneau, Noah A. Smith, Chris Dyer:
Knowledge-Rich Morphological Priors for Bayesian Language Models. HLT-NAACL 2013: 1206-1215 - [c82]Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. MLSA@PKDD/ECML 2013: 28-38 - [i9]David Bamman, Adam Anderson, Noah A. Smith:
Inferring Social Rank in an Old Assyrian Trade Network. CoRR abs/1303.2873 (2013) - [i8]David Bamman, Noah A. Smith:
New Alignment Methods for Discriminative Book Summarization. CoRR abs/1305.1319 (2013) - [i7]Nathan Schneider, Brendan O'Connor, Naomi Saphra, David Bamman, Manaal Faruqui, Noah A. Smith, Chris Dyer, Jason Baldridge:
A framework for (under)specifying dependency syntax without overloading annotators. CoRR abs/1306.2091 (2013) - [i6]Dani Yogatama, Bryan R. Routledge, Noah A. Smith:
A Sparse and Adaptive Prior for Time-Dependent Model Parameters. CoRR abs/1310.2627 (2013) - [i5]Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. CoRR abs/1310.6998 (2013) - 2012
- [j9]Shay B. Cohen, Noah A. Smith:
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning. Comput. Linguistics 38(3): 479-526 (2012) - [j8]David Bamman, Brendan O'Connor, Noah A. Smith:
Censorship and deletion practices in Chinese social media. First Monday 17(3) (2012) - [j7]Victor Chahuneau, Noah A. Smith, Chris Dyer:
pycdec: A Python Interface to cdec. Prague Bull. Math. Linguistics 98: 51-62 (2012) - [c81]Yanchuan Sim, Noah A. Smith, David A. Smith:
Discovering Factions in the Computational Linguistics Community. Discoveries@ACL 2012: 22-32 - [c80]Nathan Schneider, Behrang Mohit, Kemal Oflazer, Noah A. Smith:
Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study. ACL (2) 2012: 253-258 - [c79]Dani Yogatama, Yanchuan Sim, Noah A. Smith:
A Probabilistic Model for Canonicalizing Named Entity Mentions. ACL (1) 2012: 685-693 - [c78]Waleed Ammar, Chris Dyer, Noah A. Smith:
Transliteration by Sequence Labeling with Lattice Encodings and Reranking. NEWS@ACL 2012: 66-70 - [c77]Behrang Mohit, Nathan Schneider, Rishav Bhowmick, Kemal Oflazer, Noah A. Smith:
Recall-Oriented Learning of Named Entities in Arabic Wikipedia. EACL 2012: 162-173 - [c76]Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis, Noah A. Smith:
Word Salad: Relating Food Prices and Descriptions. EMNLP-CoNLL 2012: 1357-1367 - [c75]Kevin Gimpel, Noah A. Smith:
Structured Ramp Loss Minimization for Machine Translation. HLT-NAACL 2012: 221-231 - [c74]Kevin Gimpel, Noah A. Smith:
Concavity and Initialization for Unsupervised Dependency Parsing. HLT-NAACL 2012: 577-581 - [c73]Dipanjan Das, Noah A. Smith:
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties. HLT-NAACL 2012: 677-687 - [c72]André F. T. Martins, Mário A. T. Figueiredo, Noah A. Smith:
Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications. HLT-NAACL 2012 - [c71]Tae Yano, Noah A. Smith, John D. Wilkerson:
Textual Predictors of Bill Survival in Congressional Committees. HLT-NAACL 2012: 793-802 - [c70]Dipanjan Das, André F. T. Martins, Noah A. Smith:
An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints. *SEM@NAACL-HLT 2012: 209-217 - [i4]Noah A. Smith:
Adversarial Evaluation for Models of Natural Language. CoRR abs/1207.0245 (2012) - [i3]Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing:
Mapping the geographical diffusion of new words. CoRR abs/1210.5268 (2012) - [i2]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
Alternating Directions Dual Decomposition. CoRR abs/1212.6550 (2012) - 2011
- [b1]Noah A. Smith:
Linguistic Structure Prediction. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2011, ISBN 978-3-031-01015-6 - [j6]Shay B. Cohen, Robert J. Simmons, Noah A. Smith:
Products of weighted logic programs. Theory Pract. Log. Program. 11(2-3): 263-296 (2011) - [c69]Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith:
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. ACL (2) 2011: 42-47 - [c68]Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A. Smith:
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability. ACL (2) 2011: 176-181 - [c67]Chris Dyer, Jonathan H. Clark, Alon Lavie, Noah A. Smith:
Unsupervised Word Alignment with Arbitrary Features. ACL 2011: 409-419 - [c66]Jacob Eisenstein, Noah A. Smith, Eric P. Xing:
Discovering Sociolinguistic Associations with Structured Sparsity. ACL 2011: 1365-1374 - [c65]Dipanjan Das, Noah A. Smith:
Semi-Supervised Frame-Semantic Parsing for Unknown Predicates. ACL 2011: 1435-1444 - [c64]Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, Eric P. Xing:
Structured Databases of Named Entities from Bayesian Nonparametrics. ULNLP@EMNLP 2011: 2-12 - [c63]Shay B. Cohen, Dipanjan Das, Noah A. Smith:
Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance. EMNLP 2011: 50-61 - [c62]Desai Chen, Chris Dyer, Shay B. Cohen, Noah A. Smith:
Unsupervised Bilingual POS Tagging with Markov Random Fields. ULNLP@EMNLP 2011: 64-71 - [c61]André F. T. Martins, Noah A. Smith, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Dual Decomposition with Many Overlapping Components. EMNLP 2011: 238-249 - [c60]Kevin Gimpel, Noah A. Smith:
Quasi-Synchronous Phrase Dependency Grammars for Machine Translation. EMNLP 2011: 474-485 - [c59]Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, Noah A. Smith:
Predicting a Scientific Community's Response to an Article. EMNLP 2011: 594-604 - [c58]André F. T. Martins, Noah A. Smith, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Structured Sparsity in Structured Prediction. EMNLP 2011: 1500-1511 - [c57]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
An Augmented Lagrangian Approach to Constrained MAP Inference. ICML 2011: 169-176 - [c56]Dong Nguyen, Noah A. Smith, Carolyn P. Rosé:
Author Age Prediction from Text using Linear Regression. LaTeCH@ACL 2011: 115-123 - [c55]Chris Dyer, Kevin Gimpel, Jonathan H. Clark, Noah A. Smith:
The CMU-ARK German-English Translation System. WMT@EMNLP 2011: 337-343 - [c54]Kevin Gimpel, Noah A. Smith:
Generative Models of Monolingual and Bilingual Gappy Patterns. WMT@EMNLP 2011: 512-522 - [c53]André Filipe Torres Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Online Learning of Structured Predictors with Multiple Kernels. AISTATS 2011: 507-515 - 2010
- [j5]Shay B. Cohen, Noah A. Smith:
Covariance in Unsupervised Learning of Probabilistic Grammars. J. Mach. Learn. Res. 11: 3017-3051 (2010) - [c52]Shay B. Cohen, Noah A. Smith:
Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization. ACL 2010: 1502-1511 - [c51]ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith:
Nonparametric Word Segmentation for Machine Translation. COLING 2010: 815-823 - [c50]Kevin Gimpel, Dipanjan Das, Noah A. Smith:
Distributed Asynchronous Online Learning for Natural Language Processing. CoNLL 2010: 213-222 - [c49]André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Turbo Parsers: Dependency Parsing by Approximate Variational Inference. EMNLP 2010: 34-44 - [c48]Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing:
A Latent Variable Model for Geographic Lexical Variation. EMNLP 2010: 1277-1287 - [c47]Brendan O'Connor, Ramnath Balasubramanyan, Bryan R. Routledge, Noah A. Smith:
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. ICWSM 2010 - [c46]Tae Yano, Noah A. Smith:
What's Worthy of Comment? Content and Comment Volume in Political Blogs. ICWSM 2010 - [c45]Michael Heilman, Noah A. Smith:
Rating Computer-Generated Questions with Mechanical Turk. Mturk@HLT-NAACL 2010: 35-40 - [c44]Tae Yano, Philip Resnik, Noah A. Smith:
Shedding (a Thousand Points of) Light on Biased Language. Mturk@HLT-NAACL 2010: 152-158 - [c43]Mahesh Joshi, Dipanjan Das, Kevin Gimpel, Noah A. Smith:
Movie Reviews and Revenues: An Experiment in Text Regression. HLT-NAACL 2010: 293-296 - [c42]Shay B. Cohen, David M. Blei, Noah A. Smith:
Variational Inference for Adaptor Grammars. HLT-NAACL 2010: 564-572 - [c41]Michael Heilman, Noah A. Smith:
Good Question! Statistical Ranking for Question Generation. HLT-NAACL 2010: 609-617 - [c40]Kevin Gimpel, Noah A. Smith:
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions. HLT-NAACL 2010: 733-736 - [c39]Dipanjan Das, Nathan Schneider, Desai Chen, Noah A. Smith:
Probabilistic Frame-Semantic Parsing. HLT-NAACL 2010: 948-956 - [c38]Michael Heilman, Noah A. Smith:
Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions. HLT-NAACL 2010: 1011-1019 - [c37]Shay B. Cohen, Noah A. Smith:
Empirical Risk Minimization with Approximations of Probabilistic Grammars. NIPS 2010: 424-432 - [c36]Desai Chen, Nathan Schneider, Dipanjan Das, Noah A. Smith:
SEMAFOR: Frame Argument Resolution with Log-Linear Models. SemEval@ACL 2010: 264-267 - [p1]Jason Eisner, Noah A. Smith:
Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length. Trends in Parsing Technology 2010: 121-150 - [i1]Shay B. Cohen, Robert J. Simmons, Noah A. Smith:
Products of Weighted Logic Programs. CoRR abs/1006.3035 (2010)
2000 – 2009
- 2009
- [j4]André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Nonextensive Information Theoretic Kernels on Measures. J. Mach. Learn. Res. 10: 935-975 (2009) - [c35]Shay B. Cohen, Noah A. Smith:
Variational Inference for Grammar Induction with Prior Knowledge. ACL/IJCNLP (2) 2009: 1-4 - [c34]Sourish Chaudhuri, Naman K. Gupta, Noah A. Smith, Carolyn P. Rosé:
Leveraging Structural Relations for Fluent Compressions at Multiple Compression Rates. ACL/IJCNLP (2) 2009: 101-104 - [c33]André F. T. Martins, Noah A. Smith, Eric P. Xing:
Concise Integer Linear Programming Formulations for Dependency Parsing. ACL/IJCNLP 2009: 342-350 - [c32]Dipanjan Das, Noah A. Smith:
Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition. ACL/IJCNLP 2009: 468-476 - [c31]Kevin Gimpel, Noah A. Smith:
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings. EACL 2009: 318-326 - [c30]Kevin Gimpel, Noah A. Smith:
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing. EMNLP 2009: 219-228 - [c29]Noah A. Smith:
Tutorial summary: Structured prediction for natural language processing. ICML 2009: 20 - [c28]André F. T. Martins, Noah A. Smith, Eric P. Xing:
Polyhedral outer approximations with application to natural language parsing. ICML 2009: 713-720 - [c27]Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Matthew Hurst, Noah A. Smith:
From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. ICWSM 2009 - [c26]Shay B. Cohen, Noah A. Smith:
Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction. HLT-NAACL 2009: 74-82 - [c25]Ashish Venugopal, Andreas Zollmann, Noah A. Smith, Stephan Vogel:
Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation. HLT-NAACL 2009: 236-244 - [c24]Shimon Kogan, Dimitry Levin, Bryan R. Routledge, Jacob S. Sagi, Noah A. Smith:
Predicting Risk from Financial Reports with Regression. HLT-NAACL 2009: 272-280 - [c23]Tae Yano, William W. Cohen, Noah A. Smith:
Predicting Response to Political Blog Posts with Topic Models. HLT-NAACL 2009: 477-485 - 2008
- [j3]Noah A. Smith:
Computational Approaches to Morphology and Syntax Brian Roark and Richard Sproat (Oregon Health and Science University and University of Illinois at Urbana-Champaign) Oxford: Oxford University Press (Oxford surveys in syntax and morphology, edited by Robert D. Van Valin Jr, volume 4), 2007, xx+316 pp; hardbound, ISBN 978-0-19-927477-2. Comput. Linguistics 34(3): 453-457 (2008) - [c22]Ashish Venugopal, Andreas Zollmann, Noah A. Smith, Stephan Vogel:
Wider Pipelines: N-Best Alignments and Parses in MT Training. AMTA 2008: 192-201 - [c21]André F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing:
Stacking Dependency Parsers. EMNLP 2008: 157-166 - [c20]Shay B. Cohen, Robert J. Simmons, Noah A. Smith:
Dynamic Programming Algorithms as Products of Weighted Logic Programs. ICLP 2008: 114-129 - [c19]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
Nonextensive entropic kernels. ICML 2008: 640-647 - [c18]Daniel R. Rashid, Noah A. Smith:
Relative keyboard input system. IUI 2008: 397-400 - [c17]Shay B. Cohen, Kevin Gimpel, Noah A. Smith:
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction. NIPS 2008: 321-328 - [c16]Kevin Gimpel, Noah A. Smith:
Rich Source-Side Context for Statistical Machine Translation. WMT@ACL 2008: 9-17 - 2007
- [j2]Noah A. Smith, Mark Johnson:
Weighted and Probabilistic Context-Free Grammars Are Equally Expressive. Comput. Linguistics 33(4): 477-491 (2007) - [c15]Noah A. Smith, Douglas L. Vail, John D. Lafferty:
Computationally Efficient M-Estimation of Log-Linear Structure Models. ACL 2007 - [c14]Mengqiu Wang, Noah A. Smith, Teruko Mitamura:
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA. EMNLP-CoNLL 2007: 22-32 - [c13]David A. Smith, Noah A. Smith:
Probabilistic Models of Nonprojective Dependency Trees. EMNLP-CoNLL 2007: 132-140 - [c12]Shay B. Cohen, Noah A. Smith:
Joint Morphological and Syntactic Disambiguation. EMNLP-CoNLL 2007: 208-217 - 2006
- [c11]Noah A. Smith, Jason Eisner:
Annealing Structural Bias in Multilingual Weighted Grammar Induction. ACL 2006 - [c10]Markus Dreyer, David A. Smith, Noah A. Smith:
Vine Parsing and Minimum Risk Reranking for Speed and Precision. CoNLL 2006: 201-205 - 2005
- [c9]Noah A. Smith, Jason Eisner:
Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. ACL 2005: 354-362 - [c8]Jason Eisner, Noah A. Smith:
Parsing with Soft and Hard Constraints on Dependency Length. IWPT 2005: 30-41 - [c7]Jason Eisner, Eric Goldlust, Noah A. Smith:
Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language. HLT/EMNLP 2005: 281-290 - [c6]Noah A. Smith, David A. Smith, Roy W. Tromble:
Context-Based Morphological Disambiguation with Random Fields. HLT/EMNLP 2005: 475-482 - 2004
- [c5]Jason Eisner, Eric Goldlust, Noah A. Smith:
Dyna: A Language for Weighted Dynamic Programming. ACL (Poster and Demonstration) 2004 - [c4]Noah A. Smith, Jason Eisner:
Annealing Techniques For Unsupervised Statistical Language Learning. ACL 2004: 486-493 - [c3]David A. Smith, Noah A. Smith:
Bilingual Parsing with Factored Estimation: Using English to Parse Korean. EMNLP 2004: 49-56 - 2003
- [j1]Philip Resnik, Noah A. Smith:
The Web as a Parallel Corpus. Comput. Linguistics 29(3): 349-380 (2003) - 2002
- [c2]Noah A. Smith:
From Words to Corpora: Recognizing Translation. EMNLP 2002: 95-102 - 2000
- [c1]Noah A. Smith, Michael E. Jahr:
Cairo: An Alignment Visualization Tool. LREC 2000
Coauthor Index
Khyathi Raghavi Chandu
aka: Khyathi Chandu Raghavi
aka: Khyathi Chandu Raghavi
[i240] [c310] [c305] [c300] [i235] [i233] [i224] [i222] [c292] [c279] [c278] [c276] [i213] [i205] [i200] [i192] [i191] [c264] [c263] [c254] [i175] [i174] [c250] [c243] [c241] [c239] [c234] [c233] [c232] [c230] [i153] [i152] [i148] [i147] [i146] [i143] [c225] [c222] [i128] [i127] [i119] [i114] [i107] [i106] [i105] [i104] [c208] [c206] [c198] [c197] [c195] [c191] [i100] [i93] [i92] [i86] [c190] [c189] [c181] [i66] [i58] [c170] [c161] [i53] [i50] [i41] [c150] [c149] [c147] [i38] [i30]
[i69] [c164] [i43] [j20] [j19] [c148] [c146] [i37] [i32] [i31] [j18] [c143] [c139] [c138] [c137] [c136] [c135] [c134] [c132] [c130] [i29] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [i20] [c129] [c127] [c126] [c124] [c123] [c121] [c117] [c112] [i18] [i17] [i16] [j12] [c109] [c105] [c104] [c102] [c101] [c97] [c96] [i13] [i11] [i10] [c92] [c89] [c86] [c85] [c84] [c83] [c82] [i7] [i5] [j7] [c78] [c68] [c67] [c62] [c59] [c55]
Hannaneh Hajishirzi
aka: Hanna Hajishirzi
aka: Hanna Hajishirzi
[i237] [c310] [c309] [c307] [c305] [c300] [c299] [i236] [i233] [i225] [i224] [i220] [i219] [i218] [i215] [c297] [c296] [c295] [c286] [c285] [c284] [c279] [c276] [c275] [c274] [i211] [i210] [i209] [i205] [i200] [i196] [i192] [i186] [i185] [i184] [i183] [i181] [i180] [i179] [c270] [c267] [c265] [c263] [c253] [c252] [i174] [i171] [i169] [i164] [i163] [i160] [i157] [i155] [i147] [i141] [i132] [i129] [c223] [c221] [i124] [i117] [c200] [c191] [i101] [i99] [i93]
André F. T. Martins
aka: André Filipe Torres Martins
aka: André Filipe Torres Martins
Lester James V. Miranda
aka: Lester James Validad Miranda
aka: Lester James Validad Miranda
Dragomir R. Radev
aka: Dragomir Radev
aka: Dragomir Radev
[j33] [i201] [i168] [c249] [c246] [c238] [i144] [i135] [j29] [c220] [c217] [c213] [i126] [i121] [i116] [i110] [i109] [j27] [c209] [c205] [c204] [c191] [i101] [i98] [i97] [i95] [i93] [i84] [c183] [c182] [c180] [c179] [c174] [i75] [i71] [i67] [i65] [i64] [i63] [c171] [c165] [c160] [c155] [i56] [i51] [i47] [i46] [c150] [c149] [i38]
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, and 
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2026-04-11 00:27 CEST by the dblp team
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