About Me

I am an Assistant Professor in the Computer Science Department @ Rice University. I am also affiliated with the Ken Kennedy Institute. I am broadly interested in Natural Language Processing, Interpretable Machine Learning, and Trustworthy AI. My research focuses on explaining and evaluating the properties, mechanisms, and capabilities of large language models (LLMs), including multimodal LLMs and LLM agents; characterizing and controlling their predictive and generative behaviors; enhancing their transparency and safety; and enabling their collaboration with humans and integration into real-world applications such as medicine, healthcare, sports, and more. By developing Explainable, Trustworthy, and Responsible AI techniques, I aim to make intelligent systems controllable by system developers, accessible to general users, applicable to various domains, and beneficial to society.

Prior to joining Rice, I was a Postdoctoral Fellow in the Center for Language and Speech Processing @ Johns Hopkins University from 2023 to 2024, hosted by Dr. Mark Dredze. I completed my Ph.D. in Computer Science in May 2023 at the University of Virginia, where my advisor was Dr. Yangfeng Ji.

📝 I maintain a Reading List with interesting papers

Updates

[01/2026] One paper accepted to TMLR, and one paper accepted to EACL 2026 🎉
[12/2025] Nominated as a TAMEST 2026 Protégé ⭐
[11/2025] Congratulations to my student Chunyuan Deng for receiving the Ken Kennedy Institute Graduate Fellowship 2025-2026 and the NeurIPS 2025 Scholar Award 🎉
[11/2025] Organize the BlackboxNLP Workshop @ EMNLP 2025
[10/2025] Invited talk, Toward Interpretable and Controllable Language Models, CDS Department Colloquium @ Case Western Reserve University
[10/2025] Organize The First Workshop on the Application of LLM Explainability to Reasoning and Planning @ COLM 2025
[09/2025] One paper accepted to NeurIPS 2025 🎉
[09/2025] Invited talk, Interpretability and Control of Large Language Models, at the LLMs and The Brain
[09/2025] Invited talk, Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions, at the AI in Health Conference 2025
[09/2025] Invited talk, Interpretability and Control of Large Language Models, at the Data-Enabled Science Seminar @ University of Houston
[08/2025] Invited talk, Large Language Model Interpretability and Application in Medicine, at the Health Atmosphere Nexus Group (HANG) @ UTHealth Houston
[07/2025] One paper accepted to TMLR 🎉
[05/2025] One paper accepted to ACL 2025 Findings 🎉
[05/2025] Lecture on Natural Language Processing at the K2I AI and Machine Learning Boot Camp
[05/2025] One paper accepted to ICML 2025 🎉
[04/2025] Invited talk, Explainable AI in the Era of Large Language Models, at the 2025 SIOP Annual Conference
[02/2025] Invited talk, Explanation Generation and Evaluation for (Multimodal) Large Language Models, Ethical and Explainable GeoAI Workshop @ Texas A&M University
[02/2025] Panel Discussion on Large Language Models, DeepSeek, and the Future of Generative AI @ Rice
[01/2025] One paper accepted to ICLR 2025, three papers accepted to NAACL 2025 🎉
[12/2024] Invited talk, From Passion to Profession: My Journey as a Woman in STEM, Girls Who Code Club @ Bellaire High School, Houston
[11/2024] Organize the BlackboxNLP Workshop @ EMNLP 2024
[11/2024] Invited talk, Incredible Yet Limited Large Language Models in the Wild, CS @ FSU
[10/2024] New preprint, Language Models are Symbolic Learners in Arithmetic, arXiv
[10/2024] New preprint, MiCEval: Unveiling Multimodal Chain of Thought’s Quality via Image Description and Reasoning Steps, arXiv
[10/2024] New preprint, From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition, arXiv
[10/2024] New preprint, SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models, arXiv
[07/2024] Invited to serve as a Senior Area Chair for ACL 2025
[06/2024] Tutorial on Explanation in the Era of Large Language Models @ NAACL 2024
[06/2024] Invited to serve as an Area Chair for EMNLP 2024
[04/2024] New preprint, Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs, arXiv
[03/2024] Invited talk at How Sustainable is Artificial Intelligence?
[02/2024] New preprint, Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions, arXiv
[02/2024] New preprint, RORA: Robust Free-Text Rationale Evaluation, arXiv
[01/2024] Co-teach the course Trustworthy and Responsible NLP with Sharon Levy, Spring 2024, JHU
[12/2023] Co-host the 22nd MLNLP Seminar
[11/2023] Guest lecture on Interpretable and Explainable NLP at 601.467/667 Introduction to Human Language Technology @ JHU
[11/2023] Guest lecture on Interpretable and Explainable NLP at CSCI 699 Ethics in NLP @ USC
[10/2023] I will co-organize the BlackboxNLP 2024 Workshop at EMNLP 2024
[10/2023] Our tutorial Explanation in the Era of Large Language Models is accepted to appear at NAACL 2024
[09/2023] New preprint, Explainability for Large Language Models: A Survey, arXiv
[05/2023] REV: Information-Theoretic Evaluation of Free-Text Rationales is accepted by ACL 2023
[03/2023] Invited Talk on Bridging the Trustworthy Gap between AI and Humans: Interpretation Techniques for Modern NLP at the CLSP Seminar @ Johns Hopkins University

Research Experience

Johns Hopkins University, Baltimore, MD, June 2023 - June 2024
Center for Language and Speech Processing

Postdoctoral Fellow
Advisor: Mark Dredze
University of Virginia, Charlottesville, VA, Aug. 2018 - May 2023
Information and Language Processing Lab
- Research Assistant
- Advisor: Yangfeng Ji
Allen Institute for AI (AI2), Seattle, WA, May 2022 - Oct. 2022
Mosaic Group
- Research Intern
- Manager: Yejin Choi
- Mentors: Swabha Swayamdipta, Faeze Brahman, Xiang Ren
Microsoft Research, Redmond, WA, May 2021 - Aug. 2021
Language and Information Technologies Group
- Research Intern
- Manager: Ahmed H. Awadallah
- Mentors: Guoqing Zheng, Srinagesh Sharma
IBM Research, New York, NY, Jun. 2020 - Aug. 2020
Thomas J. Watson Research Center
- Research Intern
- Manager: Luis Lastras
- Mentors: Chulaka Gunasekara, Song Feng, Hui Wan, Jatin Ganhotra, Sachindra Joshi

Professional Service

Organizer: BlackboxNLP Workshop @ EMNLP 2024 - 2025, The First Workshop on the Application of LLM Explainability to Reasoning and Planning @ COLM 2025
Senior Area Chair: ACL 2025
Area Chair: EACL 2026, NAACL 2025, COLING 2025, EMNLP 2024, ACL ARR 2024 - now, WiML Workshop @ NeurIPS 2022
Program Committee: ACL 2023, AAAI 2023, EMNLP 2021 - 2023, NAACL 2021, EACL 2023, CoNLL 2021 - 2022, NLPCC 2022, ACL DialDoc Workshop 2022, EMNLP BlackboxNLP Workshop 2021, 2023, NeurIPS Explainable AI Approaches for Debugging and Diagnosis Workshop 2021, Document-grounded Dialogue Workshop 2021, MASC-SLL 2020
Reviewer: TACL 2023 - 2025, ICLR 2024 - 2026, NeurIPS 2023 - 2025, CVPR 2026, COLM 2024 - 2026, EMNLP 2023, ACL ARR 2021 - now, ACL 2020 - 2021, EMNLP BlackboxNLP Workshop 2022, CoNLL 2019 - 2020, NLPCC 2019 - 2021
Mentor for the Summer Undergraduate Research Fellowship (SURF) Program @ Rice, 2025
Diversity Representative for UVA Computer Science Graduate Student Group (CSGSG) Council, 2022

Tutorial

Explanation in the Era of Large Language Models @ NAACL 2024

Last update: 01/2026