Alex Warstadt @a_stadt
Postdoc @ ETH Zürich | Future Asst Prof. @ UCSD | Former PhD @ NYU | computational linguistics, NLProc, CogSci, pragmatics | he/him 🏳️🌈 alexwarstadt.com Joined September 2016-
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🚨Job Announcement🚨 I'm looking for a PhD student w/ an interest in low-resource #NLProc and #NLProc for medical applications to join my group (@NALACUJGU) at JGU (@uni_mainz), Germany. More details here: t.ly/2dJP3 Application deadline: 05/15/24 Please retweet!😊
The goat that the cat that the dog that the stick that the fire that the water that the ox that the butcher that the Angel of Death that the Holy One, Blessed be He smote killed slaughtered drank quenched burned beat bit ate was purchased by my father for two zuzim.
The Question Under Discussion❓is to discourse what the CFG is to syntax, but how speakers choose which❓to address next is VASTLY understudied. Excited for another big advance from this group: human jgmts on salience of a potential future❓AND models that can predict salience‼️
The Question Under Discussion❓is to discourse what the CFG is to syntax, but how speakers choose which❓to address next is VASTLY understudied. Excited for another big advance from this group: human jgmts on salience of a potential future❓AND models that can predict salience‼️
Did you know that most LLM’s vocabularies contain around 40% near duplicate entries? Check out our new work to learn more about how this may affect your model’s training efficiency! arxiv.org/abs/2404.06508 (details in thread) with T. Hofmann @ImanolSchlag @tpimentelms
👶 BabyLM Challenge is back! Can you improve pretraining with a small data budget? BabyLMs for better LLMs & for understanding how humans learn from 100M words New: How vision affects learning Bring your own data Paper track babylm.github.io 🧵
🔑 🗝️ The Article+Adjective+Numeral+Noun (e.g., “a lovely five days”) construction is quite rare, and yet people and LMs know it’s grammatical. What is the key to learning such a rare construction? @kmahowald and I answer this question in the context of LMs in our new paper:
I'm hiring! 2 year postdoc with research specialization in formal semantics/pragmatics, prosody, and/or social meaning. Please share widely!
I'm hiring! 2 year postdoc with research specialization in formal semantics/pragmatics, prosody, and/or social meaning. Please share widely!
Check out our new paper, harnessing the power of LLMs 💪 to scale up high quality manual annotations of CHILDES 👶
Check out our new paper, harnessing the power of LLMs 💪 to scale up high quality manual annotations of CHILDES 👶
🏛📣 Life Update 📣🏛 This fall, I’ll be starting a position as an Assistant Professor of Computational Linguistics at @Georgetown University! I’m excited to be moving to DC🇺🇸 and to be joining many wonderful colleagues at @GU_Linguistics
I am hoping to hire a postdoc who would start in Fall 2024. If you are interested in the intersection of linguistics, cognitive science, and AI, I encourage you to apply! Please see this link for details: rtmccoy.com/prospective_po…
This is good advice!!
🔉We just released EmphAssess, a benchmark for evaluating emphasis in speech to speech models. This work is a product of my internship at @metaai, and we’d gladly appreciate any feedback ! 📝 : arxiv.org/abs/2312.14069 👩💻 : github.com/facebookresear…
We have a survey! forms.gle/QLR4DpxxNAf6di…
We have a survey! forms.gle/QLR4DpxxNAf6di…
An incredible result: a model trained on 100m words gets 85% on BLiMP's linguistic minimal pairs.
Now this is the kind of result that actually bears on poverty of the stimulus arguments! (And it also shows how tricky it is to make the case that the stimulus is un fact poor, as there's probably still more progress to be made on data efficient language model architectures)
Now this is the kind of result that actually bears on poverty of the stimulus arguments! (And it also shows how tricky it is to make the case that the stimulus is un fact poor, as there's probably still more progress to be made on data efficient language model architectures)
Tal Linzen @tallinzen
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191 Followers 172 Following AI/Cognitive scientist interested in language learning and understanding. Incoming Assistant Professor in decision sciences @HEC_Montreal! She/Her🎉Congrats to CDS PhD student Will Merrill (@lambdaviking) on receiving the prestigious @twosigma PhD Fellowship! 🎓 Will's research uses theoretical computer science to better understand the capabilities and limitations of language models. Well done, Will! 👏
🚨Job Announcement🚨 I'm looking for a PhD student w/ an interest in low-resource #NLProc and #NLProc for medical applications to join my group (@NALACUJGU) at JGU (@uni_mainz), Germany. More details here: t.ly/2dJP3 Application deadline: 05/15/24 Please retweet!😊
@amazingmap It is a convoluted puzzle that only a British person can understand 😎
On the linguistic side, this is a first step towards ranking potential questions and linking them with QUDs, a gap that @a_stadt pointed out once in his “just don’t ask” paper ojs.ub.uni-konstanz.de/sub/index.php/…
Super excited about this new work! Empirical: although LLMs have good abilities to generate questions, they don’t inherently know what’s important. We try to solve this! Linguistic: is reader expectation predictable and if so, how well does that align with what’s in the text?
LLMs can mimic human curiosity by generating open-ended inquisitive questions given some context, similar to how humans wonder when they read. But which ones are more important to be answered?🤔 We predict the salience of questions, substantially outperforming GPT-4.🌟 🧵1/5
How do we predict salience score? 💡 We introduce our fine tuned models on Mistral-7B-Instruct, Llama-2-7b-chat, TinyLlama-1.1B-chat, Flan-t5-base which outperforms LLM zero-shot/few-shot baseline even with stronger prompting techniques. 🧵4/5
Is a high-salience question more likely to be answered?👀 Yes! This connects expectation-driven potential questions with QUDs. Additionally, we demonstrate that answering high-salience questions can serve as an indicator of summarization quality in news articles. 🧵3/5
LLMs can mimic human curiosity by generating open-ended inquisitive questions given some context, similar to how humans wonder when they read. But which ones are more important to be answered?🤔 We predict the salience of questions, substantially outperforming GPT-4.🌟 🧵1/5
I got tenure! It was fitting that I got to celebrate with the lab right after the news. Working together for the last 6.5 years has been a blast.
Thrilled to share a review on THE LANGUAGE NETWORK AS A NATURAL KIND—a culmination of ~20 yrs of thinking about+studying language from linguistic, psycholinguistic, and cog neuro perspectives. @NatRevNeurosci rdcu.be/dEylV With the amazing @neuranna @tamaregev 🥳 🧵1/n
Did you know that most LLM’s vocabularies contain around 40% near duplicate entries? Check out our new work to learn more about how this may affect your model’s training efficiency! arxiv.org/abs/2404.06508 (details in thread) with T. Hofmann @ImanolSchlag @tpimentelms
How much does an LM depend on information provided in-context vs its prior knowledge? Check out how @vesteinns, @niklas_stoehr, @JenniferCWhite, @AaronSchein, @ryandcotterell + I answer this by measuring a *context's persuasiveness* and an *entity's susceptibility*🧵
BabyLM is back for round two! This time we have: 1. Multimodal track 2. Bring your own data and 3. Paper track! See the CfP for all the juicy details!
👶 BabyLM Challenge is back! Can you improve pretraining with a small data budget? BabyLMs for better LLMs & for understanding how humans learn from 100M words New: How vision affects learning Bring your own data Paper track babylm.github.io 🧵
Thanks @raquel_dmg, @sandropezzelle, and @ELLISforEurope for this amazing initiative. Wonderful people, inspiring ideas and productive discussions -- I want more of this! 🤩
22 researchers from 12 European institutions discussed future directions in open #LLMs and multimodal language technologies at the Oberwolfach Research Institute for Mathematics. The workshop was organised by @raquel_dmg & @sandropezzelle on behalf of the ELLIS #NLP program! #ML
Very happy to announce that I will soon join the MIT linguistics and philosophy department as an assistant professor!
I am helping organize BUCLD this year! Please consider submitting your abstracts and symposium ideas. bu.edu/bucld/
🔑 🗝️ The Article+Adjective+Numeral+Noun (e.g., “a lovely five days”) construction is quite rare, and yet people and LMs know it’s grammatical. What is the key to learning such a rare construction? @kmahowald and I answer this question in the context of LMs in our new paper:
Najoung and I are hiring a postdoc to start at BU this fall! You'll get to lead a team working on a cool and potentially highly impactful eval project, so please apply! :)
🧙🍪🧙♀️ I'm hiring a postdoc with @sebschu to start in Fall 2024! We are looking for someone with experience in EITHER: (1) building systems that use language models as a core component to solve complex tasks, or (2) leading human annotation/behavioral experiments.