Micah Carroll - RankMe

32 papers A* 5A 3Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reasoning Models Struggle to Control their Chains of Thought. CoRR Chen Yueh-Han, Robert McCarthy, Bruce W. Lee, He He, Ian Kivlichan, Bowen Baker, Micah Carroll, Tomek Korbak
2026	J	`jnl`	Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction. CoRR Tianyi Alex Qiu, Micah Carroll, Cameron Allen
2025	J	`jnl`	CTRL-Rec: Controlling Recommender Systems With Natural Language. CoRR Micah Carroll, Adeline Foote, Kevin Feng, Marcus Williams, Anca D. Dragan, W. Bradley Knox, Smitha Milli
2025	J	`jnl`	Monitoring Monitorability. CoRR Melody Y. Guan, Miles Wang, Micah Carroll, Zehao Dou, Annie Y. Wei, Marcus Williams, Benjamin Arnav, Joost Huizinga, Ian Kivlichan, Mia Glaese, Jakub Pachocki, Bowen Baker
2025	A*	`conf`	On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. ICLR Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan
2025	J	`jnl`	Robust and Diverse Multi-Agent Learning via Rational Policy Gradient. CoRR Niklas Lauffer, Ameesh Shah, Micah Carroll, Sanjit A. Seshia, Stuart Russell, Michael Dennis
2025	J	`jnl`	The Ends Justify the Thoughts: RL-Induced Motivated Reasoning in LLMs. CoRR Nikolaus H. R. Howe, Micah Carroll
2024	A*	`conf`	AI Alignment with Changing and Influenceable Reward Functions. ICML Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	AI Alignment with Changing and Influenceable Reward Functions. CoRR Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	Beyond Preferences in AI Alignment. CoRR Tan Zhi-Xuan, Micah Carroll, Matija Franklin, Hal Ashton
2024	A	`conf`	Defining Deception in Decision Making. AAMAS Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine
2024	J	`jnl`	On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback. CoRR Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan
2023	—	`conf`	Characterizing Manipulation from AI Systems. EAAMO Micah Carroll, Alan Chan, Henry Ashton, David Krueger
2023	J	`jnl`	Characterizing Manipulation from AI Systems. CoRR Micah Carroll, Alan Chan, Henry Ashton, David Krueger
2023	—	`conf`	Harms from Increasingly Agentic Algorithmic Systems. FAccT Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
2023	J	`jnl`	Harms from Increasingly Agentic Algorithmic Systems. CoRR Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
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
2023	J	`jnl`	Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization. CoRR Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan
2023	A*	`conf`	Who Needs to Know? Minimal Knowledge for Optimal Coordination. ICML Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell
2023	J	`jnl`	Who Needs to Know? Minimal Knowledge for Optimal Coordination. CoRR Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael Dennis, Stuart Russell
2022	J	`jnl`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. CoRR Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2022	J	`jnl`	Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration. CoRR Mesut Yang, Micah Carroll, Anca D. Dragan
2022	J	`jnl`	Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. CoRR David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan
2022	J	`jnl`	Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. CoRR Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	UniMASK: Unified Inference in Sequential Decision Problems. CoRR Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	A*	`conf`	Uni[MASK]: Unified Inference in Sequential Decision Problems. NeurIPS Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2021	A	`conf`	Estimating and Penalizing Preference Shift in Recommender Systems. RecSys Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2021	A	`conf`	Evaluating the Robustness of Collaborative Agents. AAMAS Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
2021	J	`jnl`	Evaluating the Robustness of Collaborative Agents. CoRR Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
2019	A*	`conf`	On the Utility of Learning about Humans for Human-AI Coordination. NeurIPS Micah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan
2019	J	`jnl`	On the Utility of Learning about Humans for Human-AI Coordination. CoRR Micah Carroll, Rohin Shah, Mark K. Ho, Thomas L. Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan