OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning

Ziyou Hu, Zhengliang Shi, Minghang Zhu +5

Reward models (RMs) have become essential for aligning large language models (LLMs), serving as scalable proxies for human evaluation in both training and inference. However, exist…