Shauli Ravfogel
@shauli.bsky.social
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Faculty fellow at NYU CDS. Previously: PhD @ BIU NLP.
New NeurIPS paper! Why do LMs represent concepts linearly? We focus on LMs's tendency to linearly separate true and false assertions, and provide an analysis of the truth circuit in a toy model. A joint work with Gilad Yehudai,
@tallinzen.bsky.social
, Joan Bruna and
@albertobietti.bsky.social
.
18 days ago
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1/8 Happy to share our new paper—“IQ Test for LLMs”—co-authored with Aviya Maimon, Amir DN Cohen,
@neurogal.bsky.social
and Reut Tsarfaty. We propose to rethink how language models are evaluated by focusing on the latent capabilities that explain benchmark results. Arxiv:
arxiv.org/pdf/2507.20208
3 months ago
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I’ll be at
#ACL2025
! If you’re around and want to catch up or chat, please ping me!
4 months ago
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reposted by
Shauli Ravfogel
Jackson Petty
5 months ago
How well can LLMs understand tasks with complex sets of instructions? We investigate through the lens of RELIC: REcognizing (formal) Languages In-Context, finding a significant overhang between what LLMs are able to do theoretically and how well they put this into practice.
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reposted by
Shauli Ravfogel
Gal Vishne
8 months ago
Introduction \ updates post (better late than never): - I recently graduated from ELSC
@hebrewuniversity.bsky.social
🎉 - Moved to NYC 🗽 (view from our balcony below 👇) - And started a postdoc in
@columbiauniversity.bsky.social
Pls PM if you are in the NYC area and want to talk (or have a beer 🍻)
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Our paper "A Practical Method for Generating String Counterfactuals" has been accepted to the findings of NAACL 2025! a joint work with
@matan-avitan.bsky.social
,
@yoavgo.bsky.social
and Ryan Cotterell. We propose "Intervention Lens", a technique to explain intervention in natural language. (1/6)
9 months ago
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A quick update: I’ve completed my PhD at Bar-Ilan University. After an amazing research visit in Prof. Ryan Cotterell’s lab at ETH Zurich, I am super excited to join NYU Center for Data Science as a Faculty Fellow!
11 months ago
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Happy to share our work "Counterfactual Generation from Language Models" with @AnejSvete, @vesteinns, and Ryan Cotterell! We tackle generating true counterfactual strings from LMs after interventions and introduce a simple algorithm for it. (1/7)
arxiv.org/pdf/2411.07180
12 months ago
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