Shmulik Amar @pyshmulik
Building things Israel Joined September 2018-
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Shmulik Amar retweeted
🚨 New paper out! 📄 What happens when LLMs & RLMs face conflicting answers to a question? 🤔 They often ignore disagreement and confidently pick one “correct” answer. 🤯 📄 arxiv.org/pdf/2508.12355 #AI #LLM #NLP #MachineLearning
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Shmulik Amar retweeted
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. 🧵
Shmulik Amar retweeted
🚨 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)
Shmulik Amar retweeted
We release: ✅ Code ✅ Leaderboard ✅ Skill matrices & tools Let’s shift to skill‑based evaluation for LLMs! Full paper here 👉 arxiv.org/abs/2507.20208 (6/6)
Shmulik Amar retweeted
Congrats @itaimond @Tzuf6 @rtsarfaty !
Congrats @itaimond @Tzuf6 @rtsarfaty !
Shmulik Amar retweeted
🚨 RAG is a popular approach but what happens when the retrieved sources provide conflicting information?🤔 We're excited to introduce our paper: “DRAGged into CONFLICTS: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs”🚀 A thread 🧵👇
Shmulik Amar retweeted
🧵 New paper at Findings #ACL2025 @aclmeeting! Not all documents are processed equally well. Some consistently yield poor results across many models. But why? And can we predict that in advance? Work with Steven Koniaev and Jackie Cheung @Mila_Quebec @McGill_NLP #NLProc (1/n)
Shmulik Amar retweeted
Check out our new paper on highly localized attributions, both in the input and the output!
Check out our new paper on highly localized attributions, both in the input and the output!
Shmulik Amar retweeted
🚨 Introducing LAQuer, accepted to #ACL2025 (main conf)! LAQuer provides more granular attribution for LLM generations: users can just highlight any output fact (top), and get attribution for that input snippet (bottom). This reduces the amount of text the user has to read by 2…
Shmulik Amar retweeted
Excited to present our system demonstration paper on EventFull — an Event-Event Relation annotation tool — at #NAACL25 Come see us Thursday, May 1, at Poster Session I (16:00–17:30) (Paper and tool links at the end of the thread👇)
Shmulik Amar retweeted
RefVNLI Towards Scalable Evaluation of Subject-driven Text-to-image Generation
Shmulik Amar retweeted
LLMs struggle with tables—but how robust are they really? 🔍 ToRR goes beyond accuracy, testing real-world robustness across formats & tasks. 📊 Different formats, same data—models show brittle behavior affecting rankings. Prompt configuration is a key dimension for evaluation!🚀
Shmulik Amar retweeted
🎉 I'm happy to share that our paper, Make It Count, has been accepted to #CVPR2025! A huge thanks to my amazing collaborators - @YoadTewel, @SegevHilit , @hirscheran, @RoyiRassin, and @GalChechik! 🔗 Paper page: make-it-count-paper.github.io Excited to share our key findings!
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