Tal Haklay

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I am a PhD student in the Computer Science Faculty at the Technion, advised by Yonatan Belinkov. My research focuses on the interpretability of large language models. I am particularly interested in developing interpretability methods that support scalable analysis and apply to real-world settings.

In my free time, I enjoy reading, cooking, and traveling. I also love meeting new people — feel free to reach out!

news

Jul 09, 2025 Next week I’ll be at ICML! Come check out our poster MIB: A Mechanistic Interpretability Benchmark 😎 July 17, 11am And don’t miss the first Actionable Interpretability Workshop on July 19 - focusing on bridging the gap between insights and actions! 🔍⚙️
Jun 02, 2025 Our paper Position-aware Automatic Circuit Discovery has been accepted as an oral presentation at ACL 2025 (Main Conference)! See you in Vienna!