Eric Mitchell

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 43

Top Topics

Confidence Scores

Top Venues

Publications

Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar
A Critical Evaluation of AI Feedback for Aligning Large Language Models. CoRR (2024)
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
Online Adaptation of Language Models with a Memory of Amortized Contexts. CoRR (2024)
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning
An Emulator for Fine-tuning Large Language Models using Small Language Models. ICLR (2024)
Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn
Fine-Tuning Language Models for Factuality. ICLR (2024)
Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D. Manning, Chelsea Finn, Stefano Ermon
Language Model Detectors Are Easily Optimized Against. ICLR (2024)
Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn
RLVF: Learning from Verbal Feedback without Overgeneralization. CoRR (2024)
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. ICML (2023)
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
Identifying and Mitigating the Security Risks of Generative AI. CoRR (2023)
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. CoRR (2023)
Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn
Meta-Learning Online Adaptation of Language Models. EMNLP (2023)
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
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6 (1) (2023)
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. CoRR (2023)
Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. AIES (2023)
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
RECKONING: Reasoning through Dynamic Knowledge Encoding. NeurIPS (2023)
Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn
Fine-tuning Language Models for Factuality. CoRR (2023)
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. CoRR (2023)
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, Chelsea Finn
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. NeurIPS (2023)
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
RECKONING: Reasoning through Dynamic Knowledge Encoding. CoRR (2023)
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning
An Emulator for Fine-Tuning Large Language Models using Small Language Models. CoRR (2023)
Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn
Meta-Learning Online Adaptation of Language Models. CoRR (2023)
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. EMNLP (2023)
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Fast Model Editing at Scale. ICLR (2022)
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. CoRR (2022)
Eric Mitchell, Peter Henderson, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models. CoRR (2022)
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. EMNLP (2022)
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
Memory-Based Model Editing at Scale. ICML (2022)
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
Memory-Based Model Editing at Scale. CoRR (2022)
Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRR (2021)
Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRL (2021)
Eric Mitchell, Chelsea Finn, Christopher D. Manning
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. MetaDL@AAAI (2021)
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Fast Model Editing at Scale. CoRR (2021)
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
Offline Meta-Reinforcement Learning with Advantage Weighting. ICML (2021)
Eric Mitchell, Selim Engin, Volkan Isler, Daniel D. Lee
Higher-Order Function Networks for Learning Composable 3D Object Representations. ICLR (2020)
Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
Higher Order Function Networks for View Planning and Multi-View Reconstruction. ICRA (2020)
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
Offline Meta-Reinforcement Learning with Advantage Weighting. CoRR (2020)
Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
Reward Prediction Error as an Exploration Objective in Deep RL. IJCAI (2020)
Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. CoRR (2019)
Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
Higher Order Function Networks for View Planning and Multi-View Reconstruction. CoRR (2019)
Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision. CoRR (2019)
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. CoRR (2019)
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. CoRR (2019)
Eric Mitchell, Kazim Selim Engin, Volkan Isler, Daniel D. Lee
Higher-Order Function Networks for Learning Composable 3D Object Representations. CoRR (2019)
Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. IROS (2019)