Systems that use past mistakes and external knowledge to improve planning and reasoning.
Instead of a single score, RaR decomposes quality into a checklist or "rubric" (e.g., clarity, tone, evidence). An LLM acting as a judge scores these independent criteria, providing a more granular signal that helps the model learn specifically where it failed—much like a teacher’s red pen on a student's draft. III. Applications and Impact RL.rar
I. Introduction
A method for grading domains like medicine and science using instance-specific criteria. Systems that use past mistakes and external knowledge