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新研究探索LLM推理的测试时扩展

作者 PulseAugur 编辑部 · [3 个来源] ·

两篇新研究论文介绍了通过测试时扩展来提高大型语言模型（LLMs）推理能力的新颖方法。第一篇论文“Consilience”通过引入一个评估置信度时间不对称性的框架，惩罚初始高置信度但要求最终确定性，从而解决了现有基于置信度方法的局限性。第二篇论文“CoBa”提出了一种计算平衡的路由策略，优化了生成和验证步骤的资源分配，以显著更少的计算资源实现了高精度。 AI

影响 这些方法可能带来更高效、更准确的LLM推理，尤其是在缺乏外部验证工具的应用中。

排序理由 两篇arXiv论文介绍了通过测试时扩展提高LLM推理能力的新颖方法。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新研究探索LLM推理的测试时扩展

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两篇arXiv论文介绍了通过测试时扩展提高LLM推理能力的新颖方法。
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报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Lecheng Kong, Like Hui, Haitao Mao, Jun Huan ·

    Consilience for Verifier-Free Test-Time Scaling

    arXiv:2608.09898v1 Announce Type: new Abstract: Test-time scaling often uses an external verifier, such as compilers and test cases in coding or trained value functions in robotics applications, to obtain high-quality rollouts. Verifier-free test-time scaling (or VF-TTS) is gaini…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Consilience for Verifier-Free Test-Time Scaling

    Test-time scaling often uses an external verifier, such as compilers and test cases in coding or trained value functions in robotics applications, to obtain high-quality rollouts. Verifier-free test-time scaling (or VF-TTS) is gaining extensive attention as a mechanism to enhance…

  3. arXiv cs.AI TIER_1 English(EN) · Yan Zhou, Yue Ouyang, Kaiyang Zheng, Suncheng Xiang ·

    CoBa：通过计算均衡路由实现具有成本效益的测试时间缩放

    arXiv:2608.07424v1 Announce Type: new Abstract: Test-time scaling is often implemented by spending more compute along one axis: sampling more solutions, extending a chain of thought, or applying a stronger evaluator. Under a fixed inference budget, these choices compete. This pap…

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