1/5 How good are AI Model’s Reasoning Abilities? We have created LEXam, a legal reasoning benchmark derived from real law exams available in English and German. ETH Center for Law & Economics Elliott Ash Yoan Hermstrüwer Joël Niklaus OpenAI Google AI DeepSeek Anthropic Grok AI at Meta

Introducing an eval dataset of 4,886 law school exam questions. See if your AI can answer them!!

In a world dominated by GenAI, we forgot about the foundations of Machine Learning. It might sound crazy, but it's 2025 and we still use decision trees for the most fundamental tasks. We present TabSTAR, a Foundation Tabular Model🌟Eilam Shapira Roi Reichart arxiv.org/abs/2505.18125

🚨New paper at #ACL2025 Findings! REVS: Unlearning Sensitive Information in LMs via Rank Editing in the Vocabulary Space. LMs memorize and leak sensitive data—emails, SSNs, URLs from their training. We propose a surgical method to unlearn it. 🧵👇w/Yonatan Belinkov Martin Tutek 1/8

Tried steering with SAEs and found that not all features behave as expected? Check out our new preprint - "SAEs Are Good for Steering - If You Select the Right Features" 🧵

👀📖Big news! 📖👀 Happy to announce the release OneStop Eye Movements!🍾🍾 The OneStop dataset is the product of over 6 years of experimental design, data collection and data curation. github.com/lacclab/OneSto…

Tiny milestone🥲: Over a hundred people have used our platform to explore summarization datasets across 104 languages. Check it out if you're looking for data: github.com/edahanoam/Awes…

Eye Tracking + NLP = 😍 Join us at #ACL2025NLP! with Omer Shubi David R. Reich Lena Jäger

1/6🚀 New #ACL2025Findings: We show you can predict if Chain-of-Thought (CoT) reasoning will succeed — before any tokens are generated! This works with LLMs not specifically trained for reasoning—meaning powerful signals emerge naturally in early processing.