Amir Zur

According to our database, Amir Zur authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Agents of Chaos.

Natalie Shapira, Chris Wendler, Avery Yen, Gabriele Sarti, Koyena Pal, Olivia Floody, Adam Belfki, Alexander R. Loftus, Aditya Ratan Jannali, Nikhil Prakash, Jasmine Cui, Giordano Rogers, Jannik Brinkmann, Can Rager, Amir Zur, Michael Ripa, Aruna Sankaranarayanan, David Atkinson, Rohit Gandikota, Jaden Fiotto-Kaufman, EunJeong Hwang, Hadas Orgad, P. Sam Sahil, Negev Taglicht, Tomer Shabtay, Atai Ambus, Nitay Alon, Shiri Oron, Ayelet Gordon-Tapiero, Yotam Kaplan, Vered Shwartz, Tamar Rott Shaham, Christoph Riedl, Reuth Mirsky, Maarten Sap, David Manheim, Tomer D. Ullman, David Bau

CoRR, February, 2026

Surgical Activation Steering via Generative Causal Mediation.

Aruna Sankaranarayanan, Amir Zur, Atticus Geiger, Dylan Hadfield-Menell

CoRR, February, 2026

2025

Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics.

Amir Zur, Atticus Geiger, Ekdeep Singh Lubana, Eric J. Bigelow

CoRR, November, 2025

Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.

Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah D. Goodman, Christopher Potts, Thomas Icard

J. Mach. Learn. Res., 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

2024

Updating CLIP to Prefer Descriptions Over Captions.

Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Causal Proxy Models for Concept-based Model Explanations.

Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts

Proceedings of the International Conference on Machine Learning, 2023

Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning Objectives.

Amir Zur, Isaac Applebaum, Jocelyn Nardo, Dory DeWeese, Sameer Sundrani, Shima Salehi

Proceedings of the 16th International Conference on Educational Data Mining, 2023