FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning 事件

FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning arXiv:2605.28389v1 Announce Type: new Abstract: While large language models have made significant progress in mathematical reasoning, they remain unreliable at judging the correctness of their own solutions. Existing approaches that equip models with self-verification typically treat solution generation and verification as two separate tasks, leading to substantially increased training time. In this paper, we p