critique-feedback

This paper proposes Critique-Augmented Agentic Fine-Tuning (CAFT), a framework where expert LLMs provide both corrected actions and textual critiques explaining student model mistakes, achieving an 8% average improvement over action-only distillation on agentic benchmarks like τ²-Bench and WebShop.