Eric Mitchell

50 papers A* 19A 1C 1Misc 1Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users.
CoRR
Anikait Singh, Sheryl Hsu, Kyle Hsu, Eric Mitchell, Stefano Ermon, Tatsunori Hashimoto, Archit Sharma, Chelsea Finn
2024 A* conf
A Critical Evaluation of AI Feedback for Aligning Large Language Models.
NeurIPS
Archit Sharma, Sedrick Scott Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar
2024 J jnl
A Critical Evaluation of AI Feedback for Aligning Large Language Models.
CoRR
Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar
2024 A* conf
An Emulator for Fine-tuning Large Language Models using Small Language Models.
ICLR
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning
2024 A* conf
Calibrating Language Models with Adaptive Temperature Scaling.
EMNLP
Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn
2024 J jnl
Calibrating Language Models with Adaptive Temperature Scaling.
CoRR
Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn
2024 A* conf
Fine-Tuning Language Models for Factuality.
ICLR
Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn
2024 A* conf
Language Model Detectors Are Easily Optimized Against.
ICLR
Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D. Manning, Chelsea Finn, Stefano Ermon
2024 A* conf
Online Adaptation of Language Models with a Memory of Amortized Contexts.
NeurIPS
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 J jnl
Online Adaptation of Language Models with a Memory of Amortized Contexts.
CoRR
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 A* conf
RLVF: Learning from Verbal Feedback without Overgeneralization.
ICML
Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn
2024 J jnl
RLVF: Learning from Verbal Feedback without Overgeneralization.
CoRR
Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn
2024 J jnl
Test-Time Alignment via Hypothesis Reweighting.
CoRR
Yoonho Lee, Jonathan Williams, Henrik Marklund, Archit Sharma, Eric Mitchell, Anikait Singh, Chelsea Finn
2023 J jnl
An Emulator for Fine-Tuning Large Language Models using Small Language Models.
CoRR
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning
2023 A* conf
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.
ICML
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
2023 J jnl
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.
CoRR
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
2023 A* conf
Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
NeurIPS
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, Chelsea Finn
2023 J jnl
Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
CoRR
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn
2023 J jnl
Fine-tuning Language Models for Factuality.
CoRR
Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn
2023 J jnl
Identifying and Mitigating the Security Risks of Generative AI.
CoRR
Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
2023 J jnl
Identifying and Mitigating the Security Risks of Generative AI.
Found. Trends Priv. Secur.
Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
2023 A* conf
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.
EMNLP
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
2023 J jnl
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.
CoRR
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
2023 A* conf
Meta-Learning Online Adaptation of Language Models.
EMNLP
Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn
2023 J jnl
Meta-Learning Online Adaptation of Language Models.
CoRR
Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn
2023 A* conf
RECKONING: Reasoning through Dynamic Knowledge Encoding.
NeurIPS
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
2023 J jnl
RECKONING: Reasoning through Dynamic Knowledge Encoding.
CoRR
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
2023 C conf
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models.
AIES
Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
2022 A* conf
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference.
EMNLP
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
2022 J jnl
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference.
CoRR
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
2022 A* conf
Fast Model Editing at Scale.
ICLR
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
2022 A* conf
Memory-Based Model Editing at Scale.
ICML
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
2022 J jnl
Memory-Based Model Editing at Scale.
CoRR
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
2022 J jnl
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models.
CoRR
Eric Mitchell, Peter Henderson, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
2021 — conf
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning.
MetaDL@AAAI
Eric Mitchell, Chelsea Finn, Christopher D. Manning
2021 J jnl
Fast Model Editing at Scale.
CoRR
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
2021 Misc conf
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation.
CoRL
Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn
2021 J jnl
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation.
CoRR
Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn
2021 A* conf
Offline Meta-Reinforcement Learning with Advantage Weighting.
ICML
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
2020 A* conf
Higher Order Function Networks for View Planning and Multi-View Reconstruction.
ICRA
Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
2020 A* conf
Higher-Order Function Networks for Learning Composable 3D Object Representations.
ICLR
Eric Mitchell, Selim Engin, Volkan Isler, Daniel D. Lee
2020 J jnl
Offline Meta-Reinforcement Learning with Advantage Weighting.
CoRR
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
2020 A* conf
Reward Prediction Error as an Exploration Objective in Deep RL.
IJCAI
Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019 J jnl
Higher Order Function Networks for View Planning and Multi-View Reconstruction.
CoRR
Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
2019 J jnl
Higher-Order Function Networks for Learning Composable 3D Object Representations.
CoRR
Eric Mitchell, Kazim Selim Engin, Volkan Isler, Daniel D. Lee
2019 A conf
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner.
IROS
Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
2019 J jnl
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner.
CoRR
Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
2019 J jnl
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies.
CoRR
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019 J jnl
QXplore: Q-learning Exploration by Maximizing Temporal Difference Error.
CoRR
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019 J jnl
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision.
CoRR
Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung