DeepSeek推出新型数学推理模型DeepSeekMath-V2,采用可自我验证的训练框架。该模型基于DeepSeek-V3.2-Exp-Base构建,通过LLM验证器自动审查生成的数学证明,并利用高难度样本持续优化性能。在IMO 2025和CMO 2024中均达到金牌水平,Putnam 2024获118/120分。
团队表示,该成果验证了自验证推理路径的可行性,为构建可靠数学智能系统提供新方向。模型代码与权重已开源,发布于Hugging Face及GitHub平台。
DeepSeek推出新型数学推理模型DeepSeekMath-V2,采用可自我验证的训练框架。该模型基于DeepSeek-V3.2-Exp-Base构建,通过LLM验证器自动审查生成的数学证明,并利用高难度样本持续优化性能。在IMO 2025和CMO 2024中均达到金牌水平,Putnam 2024获118/120分。
团队表示,该成果验证了自验证推理路径的可行性,为构建可靠数学智能系统提供新方向。模型代码与权重已开源,发布于Hugging Face及GitHub平台。
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