Sarah Schwettmann

According to our database, Sarah Schwettmann authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

ADAG: Automatically Describing Attribution Graphs.

Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt, Sarah Schwettmann

CoRR, April, 2026

Language Model Circuits Are Sparse in the Neuron Basis.

Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt, Sarah Schwettmann

CoRR, January, 2026

2025

Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants.

Vincent Huang, Dami Choi, Daniel D. Johnson, Sarah Schwettmann, Jacob Steinhardt

CoRR, December, 2025

Establishing Best Practices for Building Rigorous Agentic Benchmarks.

Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang

CoRR, July, 2025

The Singapore Consensus on Global AI Safety Research Priorities.

Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic

CoRR, June, 2025

Line of Sight: On Linear Representations in VLLMs.

Achyuta Rajaram, Sarah Schwettmann, Jacob Andreas, Arthur Conmy

CoRR, June, 2025

Establishing Best Practices in Building Rigorous Agentic Benchmarks.

Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Antony Kellermann, Jasjeet S. Sekhon, Jacob Steinhardt, Sarah Schwettmann, Arvind Narayanan, Matei A. Zaharia, Ion Stoica, Percy Liang, Daniel Kang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Eliciting Language Model Behaviors with Investigator Agents.

Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Automatic Discovery of Visual Circuits.

Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann

CoRR, 2024

A Multimodal Automated Interpretability Agent.

Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Nearest Neighbor Normalization Improves Multimodal Retrieval.

Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush

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

2023

An Alternative to Regulation: The Case for Public AI.

Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan

CoRR, 2023

A Function Interpretation Benchmark for Evaluating Interpretability Methods.

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

CoRR, 2023

Multimodal Neurons in Pretrained Text-Only Transformers.

Sarah Schwettmann, Neil Chowdhury, Antonio Torralba

CoRR, 2023

FIND: A Function Description Benchmark for Evaluating Interpretability Methods.

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multimodal Neurons in Pretrained Text-Only Transformers.

Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Natural Language Descriptions of Deep Visual Features.

Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Toward a Visual Concept Vocabulary for GAN Latent Space.

Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Latent Compass: Creation by Navigation.

Sarah Schwettmann, Hendrik Strobelt, Mauro Martino

CoRR, 2020

2018

Evidence for an Intuitive Physics Engine in the Human Brain.

Sarah Schwettmann, Jason Fischer, Josh Tenenbaum, Nancy Kanwisher

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018