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 (EDM, 2023)

Causal Proxy Models for Concept-based Model Explanations. - Zhengxuan Wu; Karel D'Oosterlinck; Atticus Geiger; Amir Zur; Christopher Potts (ICML, 2023)

Updating CLIP to Prefer Descriptions Over Captions. - Amir Zur; Elisa Kreiss; Karel D'Oosterlinck; Christopher Potts; Atticus Geiger (EMNLP, 2024)

MIB: A Mechanistic Interpretability Benchmark. - Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fiotto-Kaufman; Tal Haklay; Michael Hanna 001; Jing Huang; Rohan Gupta; et al. (CoRR, 2025)