cs.AI(2025-06-26)

📊 共 17 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (12 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (3) 支柱一:机器人控制 (Robot Control) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (12 篇)

#题目一句话要点标签🔗
1 TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding 提出TableMoE以解决多模态表格理解中的复杂性问题 large language model multimodal
2 $T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models 提出$T^3$框架以提升自动程序修复的精确性 large language model chain-of-thought
3 Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? 提出G^2-Reasoner以提升大型语言模型的因果推理能力 large language model
4 ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models 提出ZKPROV以解决大语言模型数据来源验证问题 large language model
5 MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models 提出MobiVerse以解决城市交通模拟的效率与适应性问题 large language model
6 Hierarchical Reasoning Model 提出层次推理模型以解决复杂推理任务的挑战 large language model chain-of-thought
7 Incoherence as Oracle-less Measure of Error in LLM-Based Code Generation 提出不一致性度量以解决LLM代码生成中的错误评估问题 large language model
8 CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation 提出CitySim以解决城市行为建模的局限性问题 large language model
9 THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? 提出THE-Tree以解决科学验证与推理中的历史演化问题 large language model
10 Active Inference AI Systems for Scientific Discovery 提出主动推理AI系统以促进科学发现 multimodal
11 EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code 提出EvoVerilog以解决Verilog代码生成的自动化问题 large language model
12 How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE 提出Synthline v1以解决AI4RE数据集匮乏问题 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🔗
13 A Survey on Model Extraction Attacks and Defenses for Large Language Models 提出模型提取攻击与防御的全面分类以保护语言模型安全 distillation large language model
14 PsyLite Technical Report 提出PsyLite以解决心理咨询对话安全与轻量化部署问题 distillation HuMoR large language model
15 World-aware Planning Narratives Enhance Large Vision-Language Model Planner 提出世界感知规划叙事增强框架以解决复杂环境中的规划问题 imitation learning curriculum learning

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
16 In-context learning for the classification of manipulation techniques in phishing emails 利用上下文学习分类网络钓鱼邮件中的操控技术 manipulation large language model
17 PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction 提出PhishKey以解决网络钓鱼检测的适应性与效率问题 manipulation

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