从步骤级推理入手，强化大模型自我纠错能力，为提升推理可靠性提供新思路。
arXiv:2608.11573v1 Announce Type: cross Abstract: Achieving effective self-correction, where models verify and correct their own mistakes, remains a f…
让大模型自我纠错数学推理，AMTFV用工具流验证把错误答案掰正，值得一试。
arXiv:2607.29549v1 Announce Type: new Abstract: Large language models have demonstrated strong mathematical problem-solving capabilities, yet reliably…
多约束指令总翻车？DeCRIM用分解-批判-修正三步，让LLM自我纠错能力显著提升。
arXiv:2410.06458v2 Announce Type: replace-cross Abstract: Instruction following is a key capability for LLMs. However, recent studies have shown that …
研究发现LLM能轻易纠正别人错误，却对自己推理错误“睁一只眼闭一只眼”，揭示自我纠正的认知错觉。
arXiv:2606.05976v1 Announce Type: new Abstract: Recent work shows that LLM agents struggle to correct errors in their own reasoning traces yet show ma…