Tal Haklay

According to our database, Tal Haklay authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Pitfalls in Evaluating Interpretability Agents.

Tal Haklay, Nikhil Prakash, Sana Pandey, Antonio Torralba, Aaron Mueller, Jacob Andreas, Tamar Rott Shaham, Yonatan Belinkov

CoRR, March, 2026

2025

MIB: A Mechanistic Interpretability Benchmark.

Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Position-aware Automatic Circuit Discovery.

Tal Haklay, Hadas Orgad, David Bau, Aaron Mueller, Yonatan Belinkov

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking.

Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Linearity of Relation Decoding in Transformer Language Models.

Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau

Proceedings of the Twelfth International Conference on Learning Representations, 2024