Multimodal Neurons in Pretrained Text-Only Transformers. - Sarah Schwettmann; Neil Chowdhury; Samuel Klein; David Bau; Antonio Torralba 001 (ICCV (Workshops), 2023)

FIND: A Function Description Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (NeurIPS, 2023)

Multimodal Neurons in Pretrained Text-Only Transformers. - Sarah Schwettmann; Neil Chowdhury; Antonio Torralba 001 (CoRR, 2023)

A Function Interpretation Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (CoRR, 2023)

Nearest Neighbor Normalization Improves Multimodal Retrieval. - Neil Chowdhury; Franklin Wang; Sumedh Shenoy; Douwe Kiela; Sarah Schwettmann; Tristan Thrush (EMNLP, 2024)

Automatic Discovery of Visual Circuits. - Achyuta Rajaram; Neil Chowdhury; Antonio Torralba 001; Jacob Andreas; Sarah Schwettmann (CoRR, 2024)

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering. - Jun Shern Chan; Neil Chowdhury; Oliver Jaffe; James Aung; Dane Sherburn; Evan Mays; Giulio Starace; Kevin Liu; Leon Maksin; Tejal Patwardhan; Aleksander Madry; Lilian Weng (ICLR, 2025)

Eliciting Language Model Behaviors with Investigator Agents. - Xiang Lisa Li; Neil Chowdhury; Daniel D. Johnson 001; Tatsunori Hashimoto; Percy Liang; Sarah Schwettmann; Jacob Steinhardt (CoRR, 2025)