Aligning with Heterogenous Preferences for Kidney Exchange. - Rachel Freedman (AISafety@IJCAI, 2020)

Choice Set Misspecification in Reward Inference. - Rachel Freedman; Rohin Shah; Anca D. Dragan (AISafety@IJCAI, 2020)

Adapting a kidney exchange algorithm to align with human values. - Rachel Freedman; Jana Schaich Borg; Walter Sinnott-Armstrong; John P. Dickerson; Vincent Conitzer (Artif. Intell., 2020)

Aligning with Heterogeneous Preferences for Kidney Exchange. - Rachel Freedman (CoRR, 2020)

The Expertise Problem: Learning from Specialized Feedback. - Oliver Daniels-Koch; Rachel Freedman (CoRR, 2022)

Active Reward Learning from Multiple Teachers. - Peter Barnett; Rachel Freedman; Justin Svegliato; Stuart Russell 001 (SafeAI@AAAI, 2023)

Active teacher selection for reinforcement learning from human feedback. - Rachel Freedman; Justin Svegliato; Kyle Hollins Wray; Stuart Russell 001 (CoRR, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - 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; et al. (Trans. Mach. Learn. Res., 2023)

Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback. - Vincent Conitzer; Rachel Freedman; Jobst Heitzig; Wesley H. Holliday; Bob M. Jacobs; Nathan Lambert 001; Milan Mossé; Eric Pacuit; Stuart Russell 001; Hailey Schoelkopf; Emanuel Tewolde; William S. Zwicker (ICML, 2024)

Social Choice for AI Alignment: Dealing with Diverse Human Feedback. - Vincent Conitzer; Rachel Freedman; Jobst Heitzig; Wesley H. Holliday; Bob M. Jacobs; Nathan Lambert 001; Milan Mossé; Eric Pacuit; Stuart Russell 001; Hailey Schoelkopf; Emanuel Tewolde; William S. Zwicker (CoRR, 2024)

Linear Probe Penalties Reduce LLM Sycophancy. - Henry Papadatos; Rachel Freedman (CoRR, 2024)