cs.AI(2025-10-22)

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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 🔗1)

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

#题目一句话要点标签🔗
1 A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist 评估大型语言模型在CONSORT清单上的认知能力,揭示其校准误差和过度自信问题 large language model
2 The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models 研究推理模型中模式选择作为更难的提前退出问题,揭示现有方法在零步思维下的局限性。 chain-of-thought

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

#题目一句话要点标签🔗
3 Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning 提出Memo,一种内存高效的具身智能体强化学习训练方法,适用于长时程任务。 reinforcement learning

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