cs.CL（2026-07-15）

📊 共 9 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (4 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (4) 支柱七：动作重定向 (Motion Retargeting) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#	题目	一句话要点	标签	🔗	⭐
1	GFlowRL: Scaling Distribution-Matching RL to Large Language Models	提出GFlowRL以解决大规模语言模型的分布匹配强化学习问题	reinforcement learning large language model	✅
2	SPyCE: Skill-Policy Co-evolution for Multimodal Agents	提出SPyCE框架以解决多模态智能体的技能与策略共演化问题	reinforcement learning multimodal
3	Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape Pre-, Intra-, and Post-CoT Calibration	提出PosConf以优化推理模型的信心校准问题	reinforcement learning distillation large language model	✅
4	Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations	提出轻量信号调节以解决OPD中的探索路径问题	teacher-student distillation

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

#	题目	一句话要点	标签	🔗	⭐
5	Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis	提出类比深度研究框架以提升历史类比分析能力	large language model
6	Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents	提出MemCon框架以优化大语言模型的记忆管理	large language model
7	High-Order Question Generation in a Multilingual Educational Context	提出多语言高阶问题生成方法以提升批判性思维能力	large language model
8	When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring	提出跨评分标准泛化方法以提升自动化作文评分效果	large language model

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	Evaluation Ability Does Not Imply Optimization Utility: LLM-as-a-Judge Signals in Closed-Loop Table Recognition	研究表明LLM评估能力不等于优化效用	structure preservation

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