Tzu-Heng Chang

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution

2024 · arXiv (Cornell University)

Reinforcement learning from human feedback (RLHF) offers a promising approach to aligning large language models (LLMs) with human preferences. Typically, a reward model is trained or supplied to act as a proxy for humans in …