| Causal abstraction for faithful model interpretation A Geiger, C Potts, T Icard arXiv e-prints, arXiv: 2301.04709, 2023 | 49 | 2023 |
| Causal proxy models for concept-based model explanations Z Wu, K D’Oosterlinck, A Geiger, A Zur, C Potts International conference on machine learning, 37313-37334, 2023 | 36 | 2023 |
| Causal abstraction: A theoretical foundation for mechanistic interpretability A Geiger, D Ibeling, A Zur, M Chaudhary, S Chauhan, J Huang, A Arora, ... arXiv preprint arXiv:2301.04709, 2023 | 16 | 2023 |
| Updating CLIP to Prefer Descriptions Over Captions A Zur, E Kreiss, K D'Oosterlinck, C Potts, A Geiger arXiv preprint arXiv:2406.09458, 2024 | 1 | 2024 |
| The STEMentors Program: Promoting the Academic Readiness and Community Building of Students within General Chemistry D DeWeese, JE Nardo, I Applebaum, S Sundrani, A Zur, RM Waymouth, ... Journal of Chemical Education 101 (1), 88-96, 2023 | 1 | 2023 |
| Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning Objectives. A Zur, I Applebaum, JE Nardo, D DeWeese, S Sundrani, S Salehi International Educational Data Mining Society, 2023 | 1 | 2023 |
| Causal Abstraction for Interpretable, Debiased, and Accessible Language Models A Zur Linguistics Honors Thesis, Stanford University, 2023 | | 2023 |