cs.AI(2025-06-07)

📊 共 18 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (13) 支柱二:RL算法与架构 (RL & Architecture) (3) 支柱一:机器人控制 (Robot Control) (1) 支柱八:物理动画 (Physics-based Animation) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (13 篇)

#题目一句话要点标签🔗
1 LLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models 提出LLM-D12量表,用于评估个体对大型语言模型的工具性和关系性依赖程度 large language model
2 Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning 提出多模态融合与联邦学习以增强电动汽车充电站安全性 multimodal
3 QuantMCP: Grounding Large Language Models in Verifiable Financial Reality QuantMCP:利用模型上下文协议,将大语言模型应用于可验证的金融数据分析 large language model
4 VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs VisioMath:提出用于评估LMMs在图表数学推理能力上的基准测试。 multimodal
5 Contextual Experience Replay for Self-Improvement of Language Agents 提出上下文经验回放(CER),提升LLM Agent在复杂环境中的自适应能力 large language model
6 An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design 提出基于Agentic Framework的自主超材料建模与逆向设计方法 large language model
7 Causal Graph based Event Reasoning using Semantic Relation Experts 提出基于因果图和语义关系专家的事件推理方法,提升LLM在事件预测和时间线理解中的性能。 large language model
8 United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory 提出CoThinker框架,利用认知负荷理论提升LLM在复杂任务中的协同能力 large language model
9 AI-Generated Compromises for Coalition Formation 提出基于AI的妥协方案生成方法,促进联盟形成,应用于协同文档撰写。 large language model
10 Cross-Entropy Games for Language Models: From Implicit Knowledge to General Capability Measures 提出交叉熵游戏以衡量语言模型的通用能力 large language model
11 AI PsyRoom: Artificial Intelligence Platform for Segmented Yearning and Reactive Outcome Optimization Method AI PsyRoom:用于细粒度情感分析和个性化心理治疗方案生成的AI平台 large language model
12 Modeling Earth-Scale Human-Like Societies with One Billion Agents Light Society:利用LLM驱动的十亿智能体模拟地球规模的人类社会 large language model
13 From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment 提出拒绝感知自适应注入攻击以解决安全对齐问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
14 WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making WorldLLM:利用好奇心驱动的理论构建,提升LLM的世界建模能力 reinforcement learning world model predictive model
15 Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering 提出元自适应Prompt蒸馏方法,提升小模型在Few-Shot VQA任务上的性能。 distillation multimodal
16 Boosting LLM Reasoning via Spontaneous Self-Correction 提出SPOC,通过自发性自纠正提升LLM数学推理能力 reinforcement learning large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
17 The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity 通过问题复杂度分析,揭示推理模型的能力边界与局限性 manipulation

🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗
18 Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules 结合信息论与脉冲神经网络的生物启发式分类器,研究学习规则的影响 spatiotemporal

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