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Reinforcement Learning from Human Feedback

90 directly classified papers

Papers per year

Papers

Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NIPS 2024
Aligner: Efficient Alignment by Learning to Correct NIPS 2024
Automated Multi-level Preference for MLLMs NIPS 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024
Preference Alignment with Flow Matching NIPS 2024
Decoding-Time Language Model Alignment with Multiple Objectives NIPS 2024
SpeechAlign: Aligning Speech Generation to Human Preferences NIPS 2024
Calibrated Self-Rewarding Vision Language Models NIPS 2024
Spectral Editing of Activations for Large Language Model Alignment NIPS 2024
Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control ACL 2023
OpenAssistant Conversations - Democratizing Large Language Model Alignment NIPS 2023
Training language models to follow instructions with human feedback NIPS 2022
Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020