publications

2024

1. EMNLP

   

   Updating CLIP to Prefer Descriptions Over Captions

   Amir Zur, Elisa Kreiss, Karel D’Oosterlinck, and 2 more authors

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

   Bib PDF Code

   @inproceedings{zur2024updating,
     title = {Updating CLIP to Prefer Descriptions Over Captions},
     author = {Zur, Amir and Kreiss, Elisa and D'Oosterlinck, Karel and Potts, Christopher and Geiger, Atticus},
     editor = {Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung},
     booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
     month = nov,
     year = {2024},
     address = {Miami, Florida, USA},
     publisher = {Association for Computational Linguistics},
     url = {https://aclanthology.org/2024.emnlp-main.1125},
     pages = {20178--20187},
   }

2. JMLR

   

   Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

   Atticus Geiger, Duligur Ibeling, Amir Zur, and 8 more authors

   Nov 2024

   Bib PDF

   @article{geiger2024causalabstractiontheoreticalfoundation,
     title = {Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability},
     author = {Geiger, Atticus and Ibeling, Duligur and Zur, Amir and Chaudhary, Maheep and Chauhan, Sonakshi and Huang, Jing and Arora, Aryaman and Wu, Zhengxuan and Goodman, Noah and Potts, Christopher and Icard, Thomas},
     year = {2024},
     eprint = {2301.04709},
     archiveprefix = {arXiv},
     primaryclass = {cs.AI},
     url = {https://arxiv.org/abs/2301.04709},
   }

2023

1. ICML

   

   Causal proxy models for concept-based model explanations

   Zhengxuan Wu, Karel D’Oosterlinck, Atticus Geiger, and 2 more authors

   In International conference on machine learning, Nov 2023

   Bib PDF Code

   @inproceedings{wu2023causal,
     title = {Causal proxy models for concept-based model explanations},
     author = {Wu, Zhengxuan and D’Oosterlinck, Karel and Geiger, Atticus and Zur, Amir and Potts, Christopher},
     booktitle = {International conference on machine learning},
     pages = {37313--37334},
     year = {2023},
     organization = {PMLR},
   }

2. EDM

   

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

   Amir Zur, Isaac Applebaum, Jocelyn Elizabeth Nardo, and 3 more authors

   International Educational Data Mining Society, Nov 2023

   Bib PDF Code

   @article{zur2023meta,
     title = {Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning Objectives.},
     author = {Zur, Amir and Applebaum, Isaac and Nardo, Jocelyn Elizabeth and DeWeese, Dory and Sundrani, Sameer and Salehi, Shima},
     journal = {International Educational Data Mining Society},
     year = {2023},
     publisher = {ERIC},
   }

3. 

   Causal Abstraction for Interpretable, Debiased, and Accessible Language Models

   Amir Zur

   Linguistics Honors Thesis, Stanford University, Nov 2023

   PDF Code