research
Researchers propose WIM rating system to replace subjective numerical scores in LLM training
A new research paper introduces the What Is Missing (WIM) rating system, which generates model output rankings from natural-language feedback rather than subjective numerical scores. The approach integrates into existing LLM training pipelines and claims to reduce ties and increase training signal clarity compared to discrete ratings.