Sarah Schwettmann

23 papers A* 6B 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Language Model Circuits Are Sparse in the Neuron Basis.
CoRR
Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt, Sarah Schwettmann
2025 A* conf
Eliciting Language Model Behaviors with Investigator Agents.
ICML
Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt
2025 J jnl
Eliciting Language Model Behaviors with Investigator Agents.
CoRR
Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt
2025 J jnl
Establishing Best Practices for Building Rigorous Agentic Benchmarks.
CoRR
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
2025 J jnl
Line of Sight: On Linear Representations in VLLMs.
CoRR
Achyuta Rajaram, Sarah Schwettmann, Jacob Andreas, Arthur Conmy
2025 J jnl
Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants.
CoRR
Vincent Huang, Dami Choi, Daniel D. Johnson, Sarah Schwettmann, Jacob Steinhardt
2025 J jnl
The Singapore Consensus on Global AI Safety Research Priorities.
CoRR
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
2024 A* conf
A Multimodal Automated Interpretability Agent.
ICML
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
2024 J jnl
A Multimodal Automated Interpretability Agent.
CoRR
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
2024 J jnl
Automatic Discovery of Visual Circuits.
CoRR
Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann
2024 A* conf
Nearest Neighbor Normalization Improves Multimodal Retrieval.
EMNLP
Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush
2024 J jnl
Nearest Neighbor Normalization Improves Multimodal Retrieval.
CoRR
Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush
2023 J jnl
A Function Interpretation Benchmark for Evaluating Interpretability Methods.
CoRR
Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
2023 J jnl
An Alternative to Regulation: The Case for Public AI.
CoRR
Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan
2023 A* conf
FIND: A Function Description Benchmark for Evaluating Interpretability Methods.
NeurIPS
Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
2023 — conf
Multimodal Neurons in Pretrained Text-Only Transformers.
ICCV (Workshops)
Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba
2023 J jnl
Multimodal Neurons in Pretrained Text-Only Transformers.
CoRR
Sarah Schwettmann, Neil Chowdhury, Antonio Torralba
2022 A* conf
Natural Language Descriptions of Deep Visual Features.
ICLR
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
2022 J jnl
Natural Language Descriptions of Deep Visual Features.
CoRR
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
2021 A* conf
Toward a Visual Concept Vocabulary for GAN Latent Space.
ICCV
Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba
2021 J jnl
Toward a Visual Concept Vocabulary for GAN Latent Space.
CoRR
Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba
2020 J jnl
Latent Compass: Creation by Navigation.
CoRR
Sarah Schwettmann, Hendrik Strobelt, Mauro Martino
2018 B conf
Evidence for an Intuitive Physics Engine in the Human Brain.
CogSci
Sarah Schwettmann, Jason Fischer, Josh Tenenbaum, Nancy Kanwisher