cs.AI(2025-07-12)

📊 共 9 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7) 支柱一:机器人控制 (Robot Control) (1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning 提出SCELM框架,利用链式思考提升软件变更管理的可解释性与效率 chain-of-thought
2 Learning from Synthetic Labs: Language Models as Auction Participants 利用大型语言模型模拟拍卖参与者,降低拍卖研究成本 large language model chain-of-thought
3 LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing 提出LLM-Stackelberg博弈框架,用于建模LLM参与的序贯决策,并应用于鱼叉式网络钓鱼。 large language model
4 LLM-Powered Quantum Code Transpilation 提出基于LLM的量子代码转译方法,提升跨平台量子软件开发效率。 large language model
5 Knowledge Conceptualization Impacts RAG Efficacy 知识概念化影响RAG效果:探究知识表示对Agentic RAG系统性能的影响 large language model
6 SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation SPICE:自动化SWE-bench标注流水线,提升问题清晰度、测试覆盖率和工作量评估。 foundation model
7 AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data AInsight:利用历史数据实时洞察,增强专家决策能力 large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
8 Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in Symphony-a Decentralized Multi-Agent System 提出Hide-and-Shill框架,用于检测去中心化金融(DeFi)中的市场操纵行为。 manipulation reinforcement learning

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

#题目一句话要点标签🔗
9 EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique EduFlow:通过多阶段、多视角评判提升MLLM的问题解决能力 curriculum learning teacher-student large language model

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