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
The "old" way of training models using binary correct/incorrect outcomes. RL.rar
Systems that use past mistakes and external knowledge to improve planning and reasoning. Instead of a single score, RaR decomposes quality
If your archive contains specific papers, they are likely related to these foundational or recent works: Instead of a single score