cs.AI(2025-09-17)

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支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱一:机器人控制 (Robot Control) (1 🔗1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
1 Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework 提出SEER自优化框架,通过自适应压缩CoT推理链提升LLM在软件工程任务中的效率与准确率。 large language model chain-of-thought
2 See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles 提出StaR方法,提升多模态Agent在GUI交互中Toggle控制的准确性 multimodal
3 A Taxonomy of Prompt Defects in LLM Systems 构建LLM系统提示词缺陷分类体系,提升LLM应用可靠性 large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
4 THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning THOR:基于强化学习的工具集成层次优化,用于数学推理 manipulation large language model

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