cs.AI（2025-09-19）

📊 共 24 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (12 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (10 🔗3) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱四：生成式动作 (Generative Motion) (1)

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

#题目一句话要点标签🔗⭐
1 Evaluating Hallucinations in Multimodal LLMs with Spoken Queries under Diverse Acoustic Conditions 提出RePOPE-Spk基准，评估语音查询下多模态LLM的幻觉问题。 large language model multimodal chain-of-thought
2 MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents 提出MicroRCA-Agent，利用大语言模型Agent进行微服务根因分析 large language model multimodal ✅
3 Evaluation of Causal Reasoning for Large Language Models in Contextualized Clinical Scenarios of Laboratory Test Interpretation 评估大语言模型在实验室测试解读情境下的因果推理能力 large language model
4 Generalizability of Large Language Model-Based Agents: A Comprehensive Survey 全面综述：提升基于大语言模型Agent的泛化能力，应对多样化任务与环境。 large language model
5 How Large Language Models are Designed to Hallucinate 揭示大语言模型幻觉的结构性根源，提出基于存在主义结构的幻觉分类与评测基准。 large language model
6 EHR-MCP: Real-world Evaluation of Clinical Information Retrieval by Large Language Models via Model Context Protocol EHR-MCP：通过模型上下文协议，在真实医院环境中评估大型语言模型在临床信息检索中的应用 large language model
7 The (Short-Term) Effects of Large Language Models on Unemployment and Earnings 基于合成差分法分析大型语言模型对就业和收入的短期影响 large language model
8 GPO: Learning from Critical Steps to Improve LLM Reasoning GPO：通过学习关键步骤提升大型语言模型推理能力 large language model
9 LightCode: Compiling LLM Inference for Photonic-Electronic Systems LightCode：用于光子-电子系统的LLM推理编译框架 large language model
10 SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations 提出SENSE-7数据集与移情分类器，用于衡量用户在人机对话中对AI移情的感知。 large language model
11 Psychometric Personality Shaping Modulates Capabilities and Safety in Language Models 通过塑造心理人格特征来调节语言模型的能力和安全性 large language model
12 Stress Testing Deliberative Alignment for Anti-Scheming Training 压力测试审慎对齐方法，评估其在反欺骗训练中的有效性 chain-of-thought

🔬 支柱二：RL算法与架构 (RL & Architecture) (10 篇)

#题目一句话要点标签🔗⭐
13 A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+) UNIPHY+：用于连续监测人类健康和疾病的统一生理基础模型 distillation foundation model
14 VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping VORTEX：通过LLM引导的奖励塑造对齐任务效用和人类偏好 reward shaping large language model
15 SightSound-R1: Cross-Modal Reasoning Distillation from Vision to Audio Language Models 提出SightSound-R1，通过跨模态蒸馏提升听觉语言模型在复杂声景中的推理能力。 distillation chain-of-thought
16 MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation 提出MMCD框架，利用多模态知识蒸馏提升互联自动驾驶在复杂环境下的决策能力。 teacher-student distillation ✅
17 FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation 提出FocalCodec-Stream，通过因果蒸馏实现低码率流式语音编码 distillation ✅
18 Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning 提出基于图强化学习的原子精细结构确定加速方法，提升等离子体诊断效率。 reinforcement learning
19 Compose Yourself: Average-Velocity Flow Matching for One-Step Speech Enhancement 提出COSE：一种基于平均速度流匹配的单步语音增强方法 flow matching ✅
20 ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching ArchesClimate：利用Flow Matching生成概率性年代际集合气候预测，降低计算成本。 flow matching
21 CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair 提出CCrepairBench，用于C++编译错误修复的高保真基准和强化学习框架 reinforcement learning
22 Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection 提出基于频谱信息增强的对比学习方法，用于异常声音检测。 contrastive learning

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

#题目一句话要点标签🔗⭐
23 Structured Information for Improving Spatial Relationships in Text-to-Image Generation 提出一种轻量级结构化信息增强方法，提升文本到图像生成中空间关系准确性。 spatial relationship

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
24 Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers 提出基于注意力模式的注意力控制（ASAC）模块，提升Transformer模型的注意力和学习效率。 VQ-VAE

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