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Stanford NLP Group

@stanfordnlp.bsky.social
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Computational Linguists—Natural Language—Machine Learning

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Kaitlyn Zhou @kaitlynzhou.bsky.social · 24/04/2025
Life update! Excited to announce that I’ll be starting as an assistant professor at Cornell Info Sci in August 2026! I’ll be recruiting students this upcoming cycle! An abundance of thanks to all my mentors and friends who helped make this possible!!
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Myra Cheng @myra.bsky.social · 27/04/2025
New ICLR blogpost! 🎉 We argue that understanding the impact of anthropomorphic AI is critical to understanding the impact of AI.
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Will Held @williamheld.com · 10/04/2025
The Model Context Protocol is cool because it gives external developers a way to add meaningful functionality on top of LLM platforms. To limit test this, I made a "Realtime Voice" MCP using free STT, VAD, and TTS systems. The result is a janky, but makes me me excited about the ecosystem to come!
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Stanford NLP Group @stanfordnlp.bsky.social · 04/04/2025
Look who we found hanging out in her new Stanford Gates Computer Science office! We’re truly delighted to welcome @yejinchoinka.bsky.social as a new @stanfordnlp.bsky.social faculty member, starting full-time in September. ❤️ nlp.stanford.edu/people/
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Dr. Shuchi Grover @shuchig.bsky.social · 30/03/2025
#WomensHistoryMonth: Honoring trailblazing #WomenOfAI whose research has made an impact on the current #AI/ML revolution incl. @anima-anandkumar.bsky.social @timnitgebru.bsky.social @mmitchell.bsky.social @deviparikh.bsky.social @ajlunited.bsky.social @yejinchoinka.bsky.social @drfeifei.bsky.social
Collage with 20 trailblazing Women of AI- Anima Anandakumar, Ayanna Howard, Cynthia Breazeal, Cynthia Rudin, Daphne Koller, Devi Parikh, Doina Precup, Fei-Fei Li, Hanna Hajishirzi, Joelle Pineau, Joy Buolamwini, Latanya Sweeney, Leslie Kaelbling, Margaret Mitchell, Melanie Mitchell, Niki Parmar, Rana el Kaliouby, Regina Barzilay, Timnit Gebru, Yejin Choi
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Stanford HAI @stanfordhai.bsky.social · 28/03/2025
Stanford scholars introduced an open-source AI agent that learns how to navigate websites by mimicking childhood learning – an approach that could lead to more efficient, transparent, and privacy-conscious AI: hai.stanford.edu/news/an-open... @chrmanning.bsky.social @shikharmurty.bsky.social
hai.stanford.edu
An Open-Source AI Agent for Doing Tasks on the Web | Stanford HAI
NNetNav learns how to navigate websites by mimicking childhood learning through exploration.
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Victor Zhong @vzhong.bsky.social · 27/03/2025
Teaching for the first time: I finished the last official lecture of the class and got a surprise round of applause! Feels so great!
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Martijn Bartelds @mbartelds.bsky.social · 12/03/2025
🎙️ Speech recognition is great - if you speak the right language. Our new @stanfordnlp.bsky.social paper introduces CTC-DRO, a training method that reduces worst-language errors by up to 47.1%. Work w/ Ananjan, Moussa, @jurafsky.bsky.social, Tatsu Hashimoto and Karen Livescu. Here’s how it works 🧵
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Nathan Schneider @complingy.bsky.social · 11/03/2025
Our survey highlights the enduring influence of linguistics on #NLProc. We emphasize 6 facets: Resources, Evaluation, Low-resource settings, Interpretability, Explanation, and the Study of language.
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Kyle Mahowald @kmahowald.bsky.social · 11/03/2025
Check it out for cool plots like this about how affinities between words in sentences and how they can show how Green Day isn't like green paint or green tea. And congrats to @coryshain.bsky.social and the CLiMB lab! climblab.org
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Cory Shain @coryshain.bsky.social · 11/03/2025
🚨 First preprint from the lab! 🚨 Josh Rozner (w/@weissweiler.bsky.social and @kmahowald.bsky.social) uses counterfactual experiments on LMs to show that word distributions can provide a learning signal for diverse syntactic constructions, including some hard cases.
arxiv.org
Constructions are Revealed in Word Distributions
Construction grammar posits that constructions (form-meaning pairings) are acquired through experience with language (the distributional learning hypothesis). But how much information about…
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Tiyash @tiyash.bsky.social · 06/03/2025
I am concerned about AI but late at night, alone working on a proposal, I was glad ChatGPT had my back as I hit submit 😀.. Reminded me of @chrmanning.bsky.social’s mention in a talk of the 'Real World Utility Test' - early adoption of tech moves forward when it’s genuinely useful, concerns and all.
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JHU Computer Science @jhucompsci.bsky.social · 07/03/2025
Upcoming joint LCSR seminar featuring @stanfordnlp.bsky.social’s @siddkaramcheti.bsky.social! Learn more about it here: www.cs.jhu.edu/event/cs-lcs...
CS & LCSR Seminar Series: Language-Driven Learning for Interactive Robotics. March 12, 2025, 12 p.m., B-17 Hackerman Hall. Siddharth Karamcheti, Stanford University.
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Stanford NLP Group @stanfordnlp.bsky.social · 10/03/2025
An introductory talk by @chrmanning.bsky.social 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, …. Video: youtu.be/5Aer7MUSuSU
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Alicia DeVrio @uhleeeeeeeshuh.bsky.social · 06/03/2025
How can we better think and talk about human-like qualities attributed to language technologies like LLMs? In our #CHI2025 paper, we taxonomize how text outputs from cases of user interactions with language technologies can contribute to anthropomorphism. arxiv.org/abs/2502.09870 1/n
Image of the first page of the CHI 2025 paper titled "A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies" by authors Alicia DeVrio, Myra Cheng, Lisa Egede, Alexandra Olteanu, & Su Lin Blodgett
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Hao Zhu 朱昊 @zhuhao.me · 04/03/2025
We are getting closer to have agents operating in the real physical world. However, can we trust frontier models to make embodied decisions 🎮 aligned with human norms 👩‍⚖️ ? With EgoNormia, a 1.8k ego-centric video 🥽 QA benchmark, we show that this is surprisingly challenging!
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Caleb Ziems @calebziems.com · 04/03/2025
EgoNormia (egonormia.org) exposes a major gap in Vision-Language Models understanding of the social world: they don't know how to behave when norms about the physical world *conflict* ⚔️ (<45% acc.) But humans are naturally quite good at this (>90% acc.) Check it out! ➡️ arxiv.org/abs/2502.20490
egonormia.org
EgoNormia: A Benchmark for Visual Frontier Models' Normative Reasoning
A large scale video dataset and a benchmark for evaluating frontier models' understanding of physical social norms through videos.
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Kanishk Gandhi @gandhikanishk.bsky.social · 04/03/2025
1/13 New Paper!! We try to understand why some LMs self-improve their reasoning while others hit a wall. The key? Cognitive behaviors! Read our paper on how the right cognitive behaviors can make all the difference in a model's ability to improve with RL! 🧵
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Christopher Manning @chrmanning.bsky.social · 03/03/2025
In 2013, at AKBC 2013 and other workshops, I gave a talk titled “Texts are Knowledge”. This was well before there were any transformer LLMs—indeed before the invention of attention—and my early neural NLP ideas were rudimentary. 🔮 Nevertheless, the talk was quite prophetic!
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Lakshya A Agrawal @lakshyaaagrawal.bsky.social · 03/03/2025
🧵Introducing LangProBe: the first benchmark testing where and how composing LLMs into language programs affects cost-quality tradeoffs! We find that, on avg across diverse tasks, smaller models within optimized programs beat calls to larger models at a fraction of the cost.
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Kaitlyn Zhou @kaitlynzhou.bsky.social · 19/02/2025
Excited to have two papers at #NAACL2025! The first reveals how human over-reliance can be exacerbated by LLM friendliness. The second presents a novel computational method for concept tracing. Check them out! arxiv.org/pdf/2407.07950 arxiv.org/pdf/2502.05704
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Rose E Wang @rewang.bsky.social · 18/02/2025
Real-world AI needs real-world work. Let’s make it happen 🔥🔥 Want to learn more? Paper: arxiv.org/pdf/2410.03017v2 Code: github.com/rosewang2008/tutor-copilot School visit: www.youtube.com/watch?v=IOd2... Thank you @nssaccelerator.bsky.social @stanfordnlp.bsky.social for the support!
arxiv.org
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Rose E Wang @rewang.bsky.social · 18/02/2025
AI won’t reshape education without tackling real problems. Why are we not visiting schools or talking to teachers? A year ago, I partnered with a district facing a major challenge. Instead of doing AI x Education research in isolation, I focused on their real needs.🧵
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Jeff Dean @jeffdean.bsky.social · 22/01/2025
We’ve been thrilled by the positive reception to Gemini 2.0 Flash Thinking we discussed in December. Today we’re sharing an experimental update w/improved performance on math, science, and multimodal reasoning benchmarks 📈: • AIME: 73.3% • GPQA: 74.2% • MMMU: 75.4%
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Yijia Shao @echoshao8899.bsky.social · 17/01/2025
LM agents today primarily aim to automate tasks. Can we turn them into collaborative teammates? 🤖➕👤 Introducing Collaborative Gym (Co-Gym), a framework for enabling & evaluating human-agent collaboration! I now get used to agents proactively seeking confirmations or my deep thinking.(🧵 with video)
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Quinn Daedal @quinnanya.me · 15/01/2025
The lawyers are really bringing it this morning at the IMLS National Forum on Data Speculations and I love it. "There is no principled difference between the fair use argument for text and data mining and the fair use argument for AI. If AI is theft, so is your scholarship." 🔥
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Laura Gwilliams @lauragwilliams.bsky.social · 14/01/2025
postdoc opportunity in @alexwoolgar.bsky.social and my lab, based in Cambridge UK! seeking someone with excellent analytical skills to join our project using time-resolved human neuroimaging to study receptive language processing in non-speaking autistic individuals 🧠✨ www.jobs.cam.ac.uk/job/48835/
jobs.cam.ac.uk
Postdoctoral Research Associate (Fixed Term) - Job Opportunities - University of Cambridge
Postdoctoral Research Associate (Fixed Term) in the MRC Cognition and Brain Sciences Unit at the University of Cambridge.
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juliekallini.bsky.social @juliekallini.bsky.social · 14/01/2025
"Mission: Impossible" was featured in Quanta Magazine! Big thank you to @benbenbrubaker.bsky.social for the wonderful article covering our work on impossible languages. Ben was so thoughtful and thorough in all our conversations, and it really shows in his writing!
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ELLIS unit Amsterdam @ellisamsterdam.bsky.social · 13/12/2024
We are excited to announce the 2nd ELLIS Winter School on Foundation Models in 2025, 18-21 March in Amsterdam. Secure your spot! ✨ 🔗 Visit ivi.fnwi.uva.nl/ellis/events... 🚀 Apply forms.gle/bYbZi9J7NzCb... #AI #ML #foundationmodels #ELLISforEurope #ELLISunitAmsterdam
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Kyle Mahowald @kmahowald.bsky.social · 13/01/2025
If this is anything like the live version at the LSA (and it seems to be!), it's worth watching for an inspiring vision for how linguistics and LLMs can fit together...and, as this slide near the end shows, how linguistic phenomena can be described neurally, artificial-neurally, or symbolically.
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convai-rg.bsky.social @convai-rg.bsky.social · 13/01/2025
📢 Join us for the Conversational AI Reading Group meeting on Thursday, January 16th, 11 AM-12 PM EST. Martijn Bartelds will present "Improving Universal Access to Modern Speech Technology". Details here: poonehmousavi.github.io/rg
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Chris Potts @cgpotts.bsky.social · 13/01/2025
I've posted the practice run of my LSA keynote. My core claim is that LLMs can be useful tools for doing close linguistic analysis. I illustrate with a detailed case study, drawing on corpus evidence, targeted syntactic evaluations, and causal intervention-based analyses: youtu.be/DBorepHuKDM
youtu.be
Finding linguistic structure in large language models
YouTube video by Chris Potts
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Naomi Saphra @nsaphra.bsky.social · 13/01/2025
This was the coolest talk I've seen in ages. I learned a lot about neuroscience and evolution, and it cemented the epistemic argument I've been making: Interpretability and science of deep learning should be focused on the training process because our models are rooted in history.
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Quanta Magazine @quantamagazine.org · 13/01/2025
Large language models may not be so omnipotent after all. New research shows that LLMs, like humans, prefer to learn some linguistic patterns over others. @benbenbrubaker.bsky.social reports: www.quantamagazine.org/can-ai-model...
quantamagazine.org
Can AI Models Show Us How People Learn? Impossible Languages Point a Way. | Quanta Magazine
Certain grammatical rules never appear in any known language. By constructing artificial languages that have these rules, linguists can use neural networks to explore how people learn.
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Kyle Mahowald @kmahowald.bsky.social · 13/01/2025
Quanta write-up of our Mission: Impossible Language Models work, led by @juliekallini.bsky.social. As the photos suggest, Richard, @isabelpapad.bsky.social, and I do all our work sitting together around a single laptop and pointing at the screen.
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Dan Jurafsky @jurafsky.bsky.social · 12/01/2025
Happy New Year everyone! Jim and I just put up our January 2025 release of Speech and Language Processing! Check it out here: web.stanford.edu/~jurafsky/sl...
web.stanford.edu
Speech and Language Processing
Speech and Language Processing
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Thomas Wolf @thomwolf.bsky.social · 03/01/2025
4 out of the 6 top trending repos on GitHub are from Chinese AI teams today 2025 is gonna look quite different from 2024
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Andrew Garrett @andrewgarrett.bsky.social · 25/12/2024
Generally a nice obit of Bill Labov in the NY Times. But this misses the mark (or at least people like Bloomfield and Sapir might push back): "Unlike most linguists before him, whose work was largely theoretical, he insisted on the importance of field work." www.nytimes.com/2024/12/24/u...
nytimes.com
William Labov, Who Studied How Society Shapes Language, Dies at 97
He laid the foundation for sociolinguistics, and he showed that structures like class and race shaped speech as much as where someone lives.
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Seth Lazar @sethlazar.org · 26/12/2024
I'm not seeing (here) much discussion of o3. If you are, point me to who's on here that I'm missing? If you're not: just registering that o3's performance on SWE-bench verified is *bananas*, and likely to have massive impacts in 2025.
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 23/12/2024
New phenomenon where students show up with a chunk of ChatGPT code and say "it doesn't work" and I say, "well what did you try?" and they explain the different things they asked ChatGPT. It's pretty worrying
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anthony k webster🐿 @ethnopoetics.bsky.social · 22/12/2024
"Often, as we approached the house, we could hear Sapir playing piano. There was always much lively talk, and usually there was music. On one of these evenings, Ben Whorf and his brother Richard sang Irish songs to Sapir's accompaniment"--Stanley Newman
Stanley Newman, How I discovered linguistics
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Stanford NLP Group @stanfordnlp.bsky.social · 22/12/2024
A brilliant reflection on ~20 years of deep learning by Cho—everyone in AI should read it. A detail from it: Those doing DL in 2010 know the first DL academic/narrow commercial breakthrough was speech recognition in 2009/10. Then the society-changing breakthrough was ChatGPT—in 2022. Language! 🧐
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Lauren Hall-Lew (she/her) @lhlew.bsky.social · 21/12/2024
"Whatever direction linguistics may take, I hope that more and more linguists will engage with the social issues that spring from linguistic diversity." -- William Labov (2016: 596) #linguistics #Labov #social #justice #sociolinguistics
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Laura Gwilliams @lauragwilliams.bsky.social · 21/12/2024
are you into auditory neuroscience, speech perception and comprehension, music, tonotopy, psychophysics, MEG, EEG, time-resolved signals, data science for neuroscience? reflecting on 2024, i am proud to share the first three papers from my lab! brief description of each below 🧠 🚀
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Naomi Saphra @nsaphra.bsky.social · 20/12/2024
Transformer LMs get pretty far by acting like ngram models, so why do they learn syntax? A new paper by sunnytqin.bsky.social, me, and @dmelis.bsky.social illuminates grammar learning in a whirlwind tour of generalization, grokking, training dynamics, memorization, and random variation. #mlsky #nlp
arxiv.org
Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization
Language models (LMs), like other neural networks, often favor shortcut heuristics based on surface-level patterns. Although LMs behave like n-gram models early in training, they must eventually learn...
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Ofir Press @ofirpress.bsky.social · 18/12/2024
When ChatGPT came out, and for a year afterwards, it seemed like OpenAI had a huge moat that was insurmountable. Now Anthropic is matching their performance, Google and Meta are close, and it seems like the academic/open source community understands how to build these models ->
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Laura Gwilliams @lauragwilliams.bsky.social · 18/12/2024
excited to share a new paper from the lab, led by the one and only @irmakergin.bsky.social ! check out the preprint here: osf.io/preprints/ps... and Irmak's thread summary below 🤩
osf.io
OSF
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Prof. Nicole Holliday @mixedlinguist.bsky.social · 18/12/2024
Bill Labov made it possible for John Rickford and therefore Renee Blake and therefore me, to have a rich life in linguistics. He knew that Black students and speakers had so much to contribute. We will forever owe him a debt of gratitude for his contributions to the field, but also to all of us ❤️
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Laura Gwilliams @lauragwilliams.bsky.social · 17/12/2024
looking forward to discussing the relationship between human language processing and LLMs at APS with @alexanderhuth.bsky.social and @neuranna.bsky.social ! 🧠🤖
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