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Eric Mitchell
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2020 – today
- 2024
- [c22]Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn:
Calibrating Language Models with Adaptive Temperature Scaling. EMNLP 2024: 18128-18138 - [c21]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 - [c20]Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D. Manning, Chelsea Finn, Stefano Ermon:
Language Model Detectors Are Easily Optimized Against. ICLR 2024 - [c19]Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn:
Fine-Tuning Language Models for Factuality. ICLR 2024 - [c18]Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn:
RLVF: Learning from Verbal Feedback without Overgeneralization. ICML 2024 - [i25]Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn:
RLVF: Learning from Verbal Feedback without Overgeneralization. CoRR abs/2402.10893 (2024) - [i24]Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar:
A Critical Evaluation of AI Feedback for Aligning Large Language Models. CoRR abs/2402.12366 (2024) - [i23]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 abs/2403.04317 (2024) - [i22]Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn:
Calibrating Language Models with Adaptive Temperature Scaling. CoRR abs/2409.19817 (2024) - 2023
- [j1]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): 1-52 (2023) - [c17]Peter Henderson
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. AIES 2023: 287-296 - [c16]Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn:
Meta-Learning Online Adaptation of Language Models. EMNLP 2023: 4418-4432 - [c15]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: 5433-5442 - [c14]Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn:
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. ICML 2023: 24950-24962 - [c13]Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut:
RECKONING: Reasoning through Dynamic Knowledge Encoding. NeurIPS 2023 - [c12]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 - [i21]Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn:
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. CoRR abs/2301.11305 (2023) - [i20]Zeming Chen
RECKONING: Reasoning through Dynamic Knowledge Encoding. CoRR abs/2305.06349 (2023) - [i19]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 abs/2305.14975 (2023) - [i18]Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn:
Meta-Learning Online Adaptation of Language Models. CoRR abs/2305.15076 (2023) - [i17]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 abs/2305.18290 (2023) - [i16]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 abs/2308.14840 (2023) - [i15]Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning:
An Emulator for Fine-Tuning Large Language Models using Small Language Models. CoRR abs/2310.12962 (2023) - [i14]Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn:
Fine-tuning Language Models for Factuality. CoRR abs/2311.08401 (2023) - 2022
- [c11]Eric Mitchell, Joseph J. Noh
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. EMNLP 2022: 1754-1768 - [c10]Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning:
Fast Model Editing at Scale. ICLR 2022 - [c9]Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn:
Memory-Based Model Editing at Scale. ICML 2022: 15817-15831 - [i13]Eric Mitchell, Charles Lin, Antoine Bosselut
Memory-Based Model Editing at Scale. CoRR abs/2206.06520 (2022) - [i12]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 abs/2211.11875 (2022) - [i11]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 abs/2211.14946 (2022) - 2021
- [c8]Eric Mitchell, Chelsea Finn, Christopher D. Manning:
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. MetaDL@AAAI 2021: 138-148 - [c7]Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee:
Geodesic-HOF: 3D Reconstruction Without Cutting Corners. AAAI 2021: 2844-2851 - [c6]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: 1303-1315 - [c5]Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn:
Offline Meta-Reinforcement Learning with Advantage Weighting. ICML 2021: 7780-7791 - [i10]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 abs/2109.01115 (2021) - [i9]Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning:
Fast Model Editing at Scale. CoRR abs/2110.11309 (2021) - 2020
- [c4]Eric Mitchell, Selim Engin, Volkan Isler, Daniel D. Lee:
Higher-Order Function Networks for Learning Composable 3D Object Representations. ICLR 2020 - [c3]Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee:
Higher Order Function Networks for View Planning and Multi-View Reconstruction. ICRA 2020: 11486-11492 - [c2]Riley Simmons-Edler, Ben Eisner, Daniel Yang
Reward Prediction Error as an Exploration Objective in Deep RL. IJCAI 2020: 2816-2823 - [i8]Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee:
Geodesic-HOF: 3D Reconstruction Without Cutting Corners. CoRR abs/2006.07981 (2020) - [i7]Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn:
Offline Meta-Reinforcement Learning with Advantage Weighting. CoRR abs/2008.06043 (2020)
2010 – 2019
- 2019
- [c1]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: 7431-7438 - [i6]Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee:
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. CoRR abs/1903.10605 (2019) - [i5]Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung:
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision. CoRR abs/1904.02643 (2019) - [i4]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 abs/1904.03260 (2019) - [i3]Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee:
QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. CoRR abs/1906.08189 (2019) - [i2]Eric Mitchell, Kazim Selim Engin, Volkan Isler, Daniel D. Lee:
Higher-Order Function Networks for Learning Composable 3D Object Representations. CoRR abs/1907.10388 (2019) - [i1]Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee:
Higher Order Function Networks for View Planning and Multi-View Reconstruction. CoRR abs/1910.02066 (2019)
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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