Stewart Slocum

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Believe It or Not: How Deeply do LLMs Believe Implanted Facts?
CoRR
Stewart Slocum, Julian Minder, Clément Dumas, Henry Sleight, Ryan Greenblatt, Samuel Marks, Rowan Wang
2025 J jnl
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty.
CoRR
Mehul Damani, Isha Puri, Stewart Slocum, Idan Shenfeld, Leshem Choshen, Yoon Kim, Jacob Andreas
2025 A* conf
Diverse Preference Learning for Capabilities and Alignment.
ICLR
Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell
2025 J jnl
Diverse Preference Learning for Capabilities and Alignment.
CoRR
Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell
2025 J jnl
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.
CoRR
Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025 J jnl
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.
Trans. Mach. Learn. Res.
Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025 J jnl
Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences.
CoRR
Julian Minder, Clément Dumas, Stewart Slocum, Helena Casademunt, Cameron Holmes, Robert West, Neel Nanda
2025 J jnl
The AI Agent Index.
CoRR
Stephen Casper, Luke Bailey, Rosco Hunter, Carson Ezell, Emma Cabalé, Michael Gerovitch, Stewart Slocum, Kevin Wei, Nikola Jurkovic, Ariba Khan, Phillip J. K. Christoffersen, A. Pinar Ozisik, Rakshit S. Trivedi, Dylan Hadfield-Menell, Noam Kolt
2023 J jnl
Interpretable by Design: Learning Predictors by Composing Interpretable Queries.
IEEE Trans. Pattern Anal. Mach. Intell.
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
2023 J jnl
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.
CoRR
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2023 J jnl
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.
Trans. Mach. Learn. Res.
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2022 J jnl
Interpretable by Design: Learning Predictors by Composing Interpretable Queries.
CoRR
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman
2020 J jnl
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design.
CoRR
Sam Sinai, Richard Wang, Alexander Whatley, Stewart Slocum, Elina Locane, Eric D. Kelsic