cs.CL(2025-08-28)

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支柱九:具身大模型 (Embodied Foundation Models) (4 🔗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) (4 篇)

#题目一句话要点标签🔗
1 CAPE: Context-Aware Personality Evaluation Framework for Large Language Models 提出CAPE框架以解决LLMs个性评估中的上下文缺失问题 large language model
2 GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs 提出GUARD以解决大型语言模型合规性测试问题 large language model
3 Measuring Reasoning Utility in LLMs via Conditional Entropy Reduction 通过条件熵减少测量大语言模型的推理效用 large language model
4 Joint Enhancement of Relational Reasoning for Long-Context LLMs 提出JERR框架以解决长上下文LLMs的推理问题 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🔗
5 Graph-R1: Unleashing LLM Reasoning with NP-Hard Graph Problems 提出NP难度图问题以提升大型语言模型推理能力 reinforcement learning reward design large language model

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