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ORCIDSarah Schwettmann
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2020 – today
- 2025
[c8]Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt:
Eliciting Language Model Behaviors with Investigator Agents. ICML 2025- [i13]Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt:
Eliciting Language Model Behaviors with Investigator Agents. CoRR abs/2502.01236 (2025) - [i12]Achyuta Rajaram, Sarah Schwettmann, Jacob Andreas, Arthur Conmy:
Line of Sight: On Linear Representations in VLLMs. CoRR abs/2506.04706 (2025) - [i11]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 Sanchez-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:
The Singapore Consensus on Global AI Safety Research Priorities. CoRR abs/2506.20702 (2025) - [i10]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:
Establishing Best Practices for Building Rigorous Agentic Benchmarks. CoRR abs/2507.02825 (2025) - 2024
- [c7]Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush:
Nearest Neighbor Normalization Improves Multimodal Retrieval. EMNLP 2024: 22571-22582 - [c6]Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. ICML 2024 - [i9]Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann:
Automatic Discovery of Visual Circuits. CoRR abs/2404.14349 (2024) - [i8]Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. CoRR abs/2404.14394 (2024) - [i7]Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush:
Nearest Neighbor Normalization Improves Multimodal Retrieval. CoRR abs/2410.24114 (2024) - 2023
- [c5]Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. ICCV (Workshops) 2023: 2854-2859 - [c4]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS 2023 - [i6]Sarah Schwettmann, Neil Chowdhury, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. CoRR abs/2308.01544 (2023) - [i5]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR abs/2309.03886 (2023) - [i4]Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan:
An Alternative to Regulation: The Case for Public AI. CoRR abs/2311.11350 (2023) - 2022
- [c3]Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. ICLR 2022 - [i3]Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. CoRR abs/2201.11114 (2022) - 2021
- [c2]Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba:
Toward a Visual Concept Vocabulary for GAN Latent Space. ICCV 2021: 6784-6792 - [i2]Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba:
Toward a Visual Concept Vocabulary for GAN Latent Space. CoRR abs/2110.04292 (2021) - 2020
- [i1]Sarah Schwettmann, Hendrik Strobelt, Mauro Martino:
Latent Compass: Creation by Navigation. CoRR abs/2012.14283 (2020)
2010 – 2019
- 2018
- [c1]Sarah Schwettmann, Jason Fischer, Josh Tenenbaum, Nancy Kanwisher:
Evidence for an Intuitive Physics Engine in the Human Brain. CogSci 2018
Coauthor Index
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