conftrace_
← Learning Types
Machine Learning › Learning Types ›

Reinforcement Learning from Human Feedback

143 papers

Papers per year

1
13
60
55
14

Papers

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024
FactAlign: Long-form Factuality Alignment of Large Language Models EMNLP 2024
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset NIPS 2023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback NIPS 2023
Towards Boosting the Open-Domain Chatbot with Human Feedback ACL 2023
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023
Human-in-the-loop Abstractive Dialogue Summarization ACL 2023
Discovering Language Model Behaviors with Model-Written Evaluations ACL 2023
A Study on Annotation Interfaces for Summary Comparison ACL 2023
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values EMNLP 2023
Improving Summarization with Human Edits EMNLP 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023
HuatuoGPT, Towards Taming Language Model to Be a Doctor EMNLP 2023
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF EMNLP 2023
Tuna: Instruction Tuning using Feedback from Large Language Models EMNLP 2023
Human-centric dialog training via offline reinforcement learning EMNLP 2020