Eric Mitchell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
9
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | Calibrating Language Models with Adaptive Temperature Scaling. | Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn |
| 2024 | ICLR | An Emulator for Fine-tuning Large Language Models using Small Language Models. | Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning |
| 2024 | ICLR | Language Model Detectors Are Easily Optimized Against. | Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D. Manning, Chelsea Finn, Stefano Ermon |
| 2024 | ICLR | Fine-Tuning Language Models for Factuality. | Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn |
| 2024 | ICML | RLVF: Learning from Verbal Feedback without Overgeneralization. | Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn |
| 2023 | AIES | Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. | Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn |
| 2023 | EMNLP | Meta-Learning Online Adaptation of Language Models. | Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn |
| 2023 | EMNLP | Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. | Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning |
| 2023 | ICML | DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. | Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn |
| 2022 | EMNLP | Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. | Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning |
| 2022 | ICLR | Fast Model Editing at Scale. | Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning |
| 2022 | ICML | Memory-Based Model Editing at Scale. | Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn |
| 2021 | AAAI | Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. | Eric Mitchell, Chelsea Finn, Christopher D. Manning |
| 2021 | CoRL | Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. | Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn |
| 2021 | ICML | Offline Meta-Reinforcement Learning with Advantage Weighting. | Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn |
| 2020 | ICLR | Higher-Order Function Networks for Learning Composable 3D Object Representations. | Eric Mitchell, Selim Engin, Volkan Isler, Daniel D. Lee |
| 2020 | IJCAI | Reward Prediction Error as an Exploration Objective in Deep RL. | Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee |
| 2020 | ICRA | Higher Order Function Networks for View Planning and Multi-View Reconstruction. | Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee |
| 2019 | IROS | Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. | Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee |