Rachel Freedman

17 papers A* 2C 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Linear Probe Penalties Reduce LLM Sycophancy. CoRR Henry Papadatos, Rachel Freedman
2024	A*	`conf`	Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback. ICML Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
2024	J	`jnl`	Social Choice for AI Alignment: Dealing with Diverse Human Feedback. CoRR Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
2023	—	`conf`	Active Reward Learning from Multiple Teachers. SafeAI@AAAI Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
2023	J	`jnl`	Active Reward Learning from Multiple Teachers. CoRR Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
2023	J	`jnl`	Active teacher selection for reinforcement learning from human feedback. CoRR Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell
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`	The Expertise Problem: Learning from Specialized Feedback. CoRR Oliver Daniels-Koch, Rachel Freedman
2021	J	`jnl`	Choice Set Misspecification in Reward Inference. CoRR Rachel Freedman, Rohin Shah, Anca D. Dragan
2020	J	`jnl`	Adapting a Kidney Exchange Algorithm to Align with Human Values. CoRR Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2020	J	`jnl`	Adapting a kidney exchange algorithm to align with human values. Artif. Intell. Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2020	J	`jnl`	Aligning with Heterogeneous Preferences for Kidney Exchange. CoRR Rachel Freedman
2020	—	`conf`	Aligning with Heterogenous Preferences for Kidney Exchange. AISafety@IJCAI Rachel Freedman
2020	—	`conf`	Choice Set Misspecification in Reward Inference. AISafety@IJCAI Rachel Freedman, Rohin Shah, Anca D. Dragan
2018	A*	`conf`	Adapting a Kidney Exchange Algorithm to Align With Human Values. AAAI Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2018	C	`conf`	Adapting a Kidney Exchange Algorithm to Align with Human Values. AIES Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer