Eric Mitchell
19 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
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Keyword Collector
(88)
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Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Core AI
(9)
Deep Learning
(8)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(8)
Resources & Methods
(6)
Learning Types Β· Deep Learning
(5)
Reinforcement Learning
(4)
Applications
(4)
Learning Paradigms
(4)
Methods
(4)
Optimization & Theory
(4)
Models
(3)
Application Areas
(2)
Keywords
large language model
(7)
language model
(5)
reinforcement learning
(3)
reinforcement learning from human feedback
(3)
direct preference optimization
(3)
online adaptation
(2)
text classification
(2)
model editing
(2)
offline reinforcement learning
(2)
imitation learning
(1)
knowledge transfer
(1)
online learning
(1)
knowledge editing
(1)
natural language inference
(1)
model calibration
(1)
language model alignment
(1)
uncertainty quantification
(1)
instruction following
(1)
confidence calibration
(1)
preference optimization
(1)
Papers
A Critical Evaluation of AI Feedback for Aligning Large Language Models
NeurIPS 2024
An Emulator for Fine-tuning Large Language Models using Small Language Models
ICLR 2024
Calibrating Language Models with Adaptive Temperature Scaling
EMNLP 2024
Fine-Tuning Language Models for Factuality
ICLR 2024
Language Model Detectors Are Easily Optimized Against
ICLR 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
NeurIPS 2024
RLVF: Learning from Verbal Feedback without Overgeneralization
ICML 2024
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
ICML 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
NeurIPS 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
EMNLP 2023
Meta-Learning Online Adaptation of Language Models
EMNLP 2023
RECKONING: Reasoning through Dynamic Knowledge Encoding
NeurIPS 2023
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
EMNLP 2022
Fast Model Editing at Scale
ICLR 2022
Memory-Based Model Editing at Scale
ICML 2022
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
CoRL 2021
Offline Meta-Reinforcement Learning with Advantage Weighting
ICML 2021
Higher-Order Function Networks for Learning Composable 3D Object Representations
ICLR 2020
Reward Prediction Error as an Exploration Objective in Deep RL
IJCAI 2020