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- OpenAIo1原理解读：重复采样扩展推理计算[Large Language Monkeys: Scaling Inference Compute with Repeated Sampling]-AI论文
- OpenIAo1原理解读：Q*强化学习与启发式搜索推理框架[Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning]-AI论文
- OpenAIo1原理解读:基于蒙特卡罗树搜索的自我博弈互相推理[Self-play Mutual Reasoning]-AI论文
- openAIo1原理解读：推理增加计算量提高大模型效果[Scaling LLM Test-Time Compute Optimally can be More Effective]-AI论文
- OpenAI o1大模型原理解读：自博弈Self-play强化学习方法[A Survey on Self-play Methods in Reinforcement Learning]-AI论文
- OpenAI o1大模型原理解读：Quiet-STaR 推理思维链[Language Models Can Teach Themselves to Think Before Speaking]-AI论文
- OpenAI o1大模型原理论文汇总[Awesome LLM Strawberry]-AI论文
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