AI RESEARCH

Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance

arXiv CS.CL

ArXi:2605.07461v1 Announce Type: new Rubrics have been extensively utilized for evaluating unverifiable, open-ended tasks, with recent research incorporating them into reward systems for reinforcement learning. However, existing frameworks typically treat rubrics only as external evaluator disjointed from the policy's primary reasoning trace. Such design confines rubrics to post-hoc measurement, leaving them unable to actively guide the model's generation process. In this work, we