cs.AI(2025-09-12)

📊 共 14 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) (2)

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

#题目一句话要点标签🔗
1 InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning 提出InPhyRe基准,揭示大型多模态模型在归纳物理推理上的不足 multimodal
2 WALL: A Web Application for Automated Quality Assurance using Large Language Models WALL:利用大型语言模型实现自动化代码质量保证的Web应用 large language model
3 Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media 利用大型语言模型进行社交媒体临床试验招募:提出TRIALQA数据集并进行基准测试。 large language model
4 Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building 利用大型语言模型进行风险协商和共识构建,应对“同一个健康”风险 large language model
5 DOCUEVAL: An LLM-based AI Engineering Tool for Building Customisable Document Evaluation Workflows DOCUEVAL:基于LLM的可定制文档评估工作流AI工程工具 large language model foundation model
6 LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems 系统性分析LLM应用中的威胁与防御,为安全部署提供指导 large language model
7 Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems 提出A2P框架,通过因果推理提升多智能体系统故障归因精度 large language model
8 GenAI Voice Mode in Programming Education 探索GenAI语音模式在编程教育中的应用,解决新手程序员可访问性问题 multimodal
9 The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis 揭示LLM中隐含的道德偏见,探索人机共生的未来 large language model
10 Generating Energy-Efficient Code via Large-Language Models -- Where are we now? 评估LLM生成代码的能效:与人类专家代码的对比分析 large language model
11 Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching 提出AI Agent驱动的验证与修补方法,保障LLM生成嵌入式固件安全 large language model
12 LLM Bazaar: A Service Design for Supporting Collaborative Learning with an LLM-Powered Multi-Party Collaboration Infrastructure 提出LLM Bazaar以支持多方协作学习 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
13 Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization 提出SmartCoder-R1,通过安全感知强化学习提升智能合约生成安全性和可解释性。 reinforcement learning large language model chain-of-thought
14 Reinforcement learning for spin torque oscillator tasks 利用强化学习实现自旋扭矩振荡器(STO)的自动同步控制 reinforcement learning

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