Enabling Scalable Oversight via Self-Evolving Critic

SCRIT (Self-evolving CRITic) enables LLMs to self-improve critique abilities without relying on human annotations or stronger models. Using synthetic data, a contrastive self-critic generates step-by-step critiques, while a self-validation mechanism ensures quality. Implemented with Qwen2.5-72B-Instruct, SCRIT improves critique and error detection benchmarks by up to 10.3% and scales effectively with data and model size.