BIU NLP

226 posts

BIU NLP

BIU NLP

@biunlp

The Bar-Ilan University, Natural Language Processing group.

Katılım Ağustos 2011
107 Takip Edilen793 Takipçiler
BIU NLP retweetledi
Yanai Elazar
Yanai Elazar@yanaiela·
🚨 New Study 🚨 @arxiv has recently decided to prohibit any 'position' paper from being submitted to its CS servers. Why? Because of the "AI slop", and allegedly higher ratios of LLM-generated content in review papers, compared to non-review papers.
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Mosh Levy
Mosh Levy@mosh_levy·
New paper: We are often told that reasoning tokens aren't faithful explanations. But to have a useful metaphor for their operation we need a characterization of what they are, not what they are not. To that end, we suggest "State over Tokens" (SoT) 👇🧵
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ISCOL 2025
ISCOL 2025@iscol_meeting·
Registration for ISCOL is now open! Please register as soon as possible, as spots are limited and we need to get an accurate headcount. iscol-meeting.github.io/iscol2025/
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Sapir Harary
Sapir Harary@SapirHarary·
🚨 New paper alert! We’re thrilled to share our new preprint “PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise” ✨ LLMs generate text one token at a time, but factuality checks still wait for a full sentence. We extend NLI to text prefixes, enabling the catching of factual errors as soon as they arise during generation, achieving major faithfulness gains with 25× lower computational cost than lookahead methods. 🧵⬇️
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Arie Cattan
Arie Cattan@ArieCattan·
LLMs love to hallucinate, but *where* exactly? 🤔 We're thrilled to announce that our paper "Localizing Factual Inconsistencies in Attributable Text Generation" has been accepted to #TACL #nlproc ! 🎉 🧵👇
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ISCOL 2025
ISCOL 2025@iscol_meeting·
Save the date for ISCOL'25! The conference will be held on December 18th at Bar-Ilan University. The call for papers is now live on our website: iscol-meeting.github.io/iscol2025/
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BIU NLP retweetledi
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Mosh Levy
Mosh Levy@mosh_levy·
Producing reasoning texts boosts the capabilities of AI models, but do we humans correctly understand these texts? Our latest research suggests that we do not. This highlights a new angle on the "Are they transparent?" debate: they might be, but we misinterpret them. 🧵
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Yanai Elazar
Yanai Elazar@yanaiela·
I’m excited to share that I'm joining Bar-Ilan University as an assistant professor!
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Avshalom Manevich
Avshalom Manevich@AvshalomM·
We introduce CoCI, which improves fine-grained visual discrimination in LVLMs using contrast images. Shows up to 98.9% improvement on NaturalBench across three different supervision regimes. @rtsarfaty 📄 aclanthology.org/anthology-file…
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Amir David Nissan cohen
Amir David Nissan cohen@AmirDNC·
Led by @AviyaMaimon, our new paper redefines how we evaluate LLMs. Instead of one flat leaderboard score, we uncover the latent skills—reasoning, comprehension, ethics, precision & more—that really shape LLM ability. Think: psychometrics meets AI. link: arxiv.org/pdf/2507.20208
Aviya Maimon@AviyaMaimon

🚨 New paper alert! 🚨 We propose an IQ Test for LLMs — a new way to evaluate models that goes beyond benchmarks and uncovers their core skills. Think: 🧠🤖 psychometrics for LLMs. 👇 (1/6)

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Shauli Ravfogel
Shauli Ravfogel@ravfogel·
1/8 Happy to share our new paper—“IQ Test for LLMs”—co-authored with @AviyaMaimon, @AmirDNC, @neuro_gal and @rtsarfaty. 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
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Aviya Maimon@AviyaMaimon

🚨 New paper alert! 🚨 We propose an IQ Test for LLMs — a new way to evaluate models that goes beyond benchmarks and uncovers their core skills. Think: 🧠🤖 psychometrics for LLMs. 👇 (1/6)

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Aviya Maimon
Aviya Maimon@AviyaMaimon·
🚨 New paper alert! 🚨 We propose an IQ Test for LLMs — a new way to evaluate models that goes beyond benchmarks and uncovers their core skills. Think: 🧠🤖 psychometrics for LLMs. 👇 (1/6)
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omer goldman
omer goldman@omerNLP·
Are you still around Vienna? Come hear about a new morphological task at CoNLL at ~11:20 (hall M.1) @rtsarfaty
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