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Stanford NLP Group
@stanfordnlp
Stanford, CA, USA
Joined February 2010
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    For the last NLP seminar of the quarter, we are excited to host @GretaTuckute from Harvard University! Date and Time: Thursday, May 28, 11:00AM — 12:00 PM Pacific Time. Zoom Link: stanford.zoom.us/j/93941842999?… Title: Learning and Representing Language in Brains and LLMs Abstract:
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    Our new-ish, neural, pure Python stanfordnlp package provides grammatical analyses of sentences in over 50 human languages! stanfordnlp.github.io/stanfordnlp/ Version 0.2.0 brought sensibly small model sizes and an improved lemmatizer. Try it out: pip install stanfordnlp
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    CS224N Natural Language Processing with Deep Learning 2019 @Stanford course videos by @chrmanning, @abigail_e_see & guests are now mostly available (16 of 20). Big update from 2017. YouTube playlist: youtube.com/playlist?list=… – new CS224N online hub: onlinehub.stanford.edu/cs224 #NLProc
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    Out now: our new Python #NLProc package. StanfordNLP provides native, neural (PyTorch) tokenization, POS tagging and dependency parsing for 53 languages based on UD v2—and a Python CoreNLP interface. stanfordnlp.github.io/stanfordnlp/ PyPI: pypi.org/project/stanfo… – pip install stanfordnlp
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    We’re gearing up for the 2019 edition of Stanford CS224N: Natural Language Processing with Deep Learning. Starts Jan 8—over 500 students enrolled—using PyTorch—new Neural MT assignments—new lectures on transformers, subword models, and human language. web.stanford.edu/class/cs224n/
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    The final admission that the 2023 strategy of OpenAI, Anthropic, etc. (“simply scaling up model size, data, compute, and dollars spent will get us to AGI/ASI”) is no longer working!
    OPENAI ROADMAP UPDATE FOR GPT-4.5 and GPT-5: We want to do a better job of sharing our intended roadmap, and a much better job simplifying our product offerings. We want AI to “just work” for you; we realize how complicated our model and product offerings have gotten. We hate
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    A 2023 update of the CS224N Natural Language Processing with Deep Learning YouTube playlist is now available with new lectures on pretrained models, prompting, RLHF, natural language and code generation, linguistics, interpretability and more. #NLProc youtube.com/playlist?list=…
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    Want to learn the engineering details of building state-of-the-art Large Language Models (LLMs)? Not finding much info in @OpenAI’s non-technical reports? @percyliang and @tatsu_hashimoto are here to help with CS336: Language Modeling from Scratch, now rolling out to YouTube.
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    Yes, @GoogleAI (well, all of @AlphabetINC) produces a lot of awesome AI research, but @Stanford + @MIT together produce more (judging by @NeurIPSConf papers!), and @Stanford + @MIT + @UCBerkeley + @CarnegieMellon produces more than @AlphabetINC + @Microsoft + @facebook
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    An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at @Stanford, covering 3 eras of LLMs, RAG, Agents, DeepSeek-R1, using LLMs, ….
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    Stanford CS224N: Natural Language Processing with Deep Learning is back for 2020, starting Jan 7, with over 500 students enrolled: web.stanford.edu/class/cs224n/ #cs224n
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    Delete, Retrieve, Generate: A simple approach to doing neural style transfer on text, altering text for sentiment or style—Juncen Li, Robin Jia, He He & @percyliang #NAACL2018 nlp.stanford.edu/pubs/li2018tra…
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    We’re not quite convinced that this sort of on-demand learning actually works to build a foundation in a subject …
    Stanford's CS224N NLP with Deep Learning Course will take 24+ hours to understand how GPT works. There's a better way. I turned Stanford's course into a chatbot that can answer the questions you need answers for. Try it out here: ask-my-course.steamship.com/?userHandle=en…
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    Announcing Stanza v1.0.0, the new packaging of our Python #NLProc library for many human languages (now including mainland Chinese), greatly improved and including NER. Documentation stanfordnlp.github.io/stanza/ Github github.com/stanfordnlp/st… PyPI pypi.org/project/stanza/ (or conda)