MathCritique: Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision
A critique-in-the-loop self-improvement method that incorporates critique-based supervision into the actor’s self-training process and improves the actor’s exploration efficiency and solution diversity, especially on challenging queries, leading to a stronger actor model.