cs.CL(2026-06-02)

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支柱九:具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
1 Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models 提出聚类自评估方法以解决大语言模型的不确定性量化问题 large language model
2 Building Reliable Long-Form Generation via Hallucination Rejection Sampling 提出SHARS框架以解决长文本生成中的幻觉问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
3 Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments 提出PROVE框架以解决多步工具调用中的训练挑战 reinforcement learning

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