Stanford NLP Group (@stanfordnlp) / X

Stanford NLP Group

15.4K posts

Stanford NLP Group

@stanfordnlp

Natural Language Processing/Machine Learning @chrmanning @jurafsky @percyliang @ChrisGPotts @tatsu_hashimoto @MonicaSLam @Diyi_Yang @YejinChoinka @StanfordAILab

Stanford, CA, USA

Joined February 2010

Pinned
Stanford NLP Group
@stanfordnlp
May 26
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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Stanford NLP Group
@stanfordnlp
Jul 17, 2019
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
Stanford NLP Group
@stanfordnlp
Mar 28, 2019
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
Stanford NLP Group
@stanfordnlp
Jan 30, 2019
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
StanfordNLP
From stanfordnlp.github.io
Stanford NLP Group
@stanfordnlp
Jan 5, 2019
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/
Stanford NLP Group
@stanfordnlp
Feb 12, 2025
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!
Sam Altman
@sama
Feb 12, 2025
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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Stanford NLP Group
@stanfordnlp
Sep 21, 2023
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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Stanford NLP Group
@stanfordnlp
Apr 19, 2025
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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Stanford NLP Group
@stanfordnlp
Sep 8, 2019
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
Stanford NLP Group
@stanfordnlp
Mar 8, 2025
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 NLP Group
@stanfordnlp
Jan 4, 2020
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
Stanford NLP Group
@stanfordnlp
May 20, 2018
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…
Stanford NLP Group
@stanfordnlp
Mar 25, 2023
We’re not quite convinced that this sort of on-demand learning actually works to build a foundation in a subject …
Enias Cailliau
@enias
Mar 24, 2023
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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Stanford NLP Group
@stanfordnlp
Mar 17, 2020
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)