2026
Text2Grad: Reinforcement Learning from Natural Language Feedback
ICLR 2026poster
Traditional RLHF optimizes language models with coarse, scalar rewards that mask the fine-grained reasons behind success or failure, leading to slow, opaque learning. Recent work augments RL with textual critiques through prompting or reflection, improving interpretability but leaving model paramete…