cs.CL（2025-09-04）

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支柱九：具身大模型 (Embodied Foundation Models) (26 🔗9) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (26 篇)

#题目一句话要点标签🔗⭐
1 Sample-efficient Integration of New Modalities into Large Language Models 提出SEMI方法，高效地将新模态集成到大型语言模型中 large language model foundation model multimodal
2 Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models 评估大型语言模型对过时医学知识的记忆能力，揭示其潜在风险 large language model
3 RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models 提出RTQA框架，利用大语言模型和递归思维解决复杂时序知识图谱问答难题 large language model ✅
4 Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects 系统性回顾语音讽刺识别：多模态融合、挑战与未来展望 multimodal
5 SPFT-SQL: Enhancing Large Language Model for Text-to-SQL Parsing by Self-Play Fine-Tuning 提出SPFT-SQL，通过自博弈微调增强大语言模型在Text-to-SQL解析任务中的性能。 large language model
6 Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation 量化LLM实现生物医学NLP模型轻量化部署，降低75%显存需求。 large language model
7 A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models 综述：大型语言模型推理可信度研究，聚焦CoT技术及其安全性挑战 large language model ✅
8 CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking CANDY：评估大语言模型在中文虚假信息核查中的局限性与辅助潜力 large language model chain-of-thought ✅
9 Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions? 提出Inverse IFEval基准，评估LLM在对抗性指令下的认知灵活性。 large language model instruction following
10 Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning 提出SSMR-Bench：合成乐谱推理问题，提升AI音乐家能力 large language model multimodal
11 Chain or tree? Re-evaluating complex reasoning from the perspective of a matrix of thought 提出矩阵思维（MoT）框架，提升LLM在复杂推理任务中的效率与准确性 large language model chain-of-thought ✅
12 MobileRAG: Enhancing Mobile Agent with Retrieval-Augmented Generation MobileRAG：提出检索增强生成框架，提升移动Agent在复杂任务中的性能。 large language model ✅
13 ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs ODKE+：利用LLM和本体指导的开放域知识抽取系统，实现大规模高精度知识图谱构建。 large language model
14 Cross-Layer Attention Probing for Fine-Grained Hallucination Detection 提出跨层注意力探测(CLAP)技术，用于细粒度地检测大型语言模型中的幻觉现象。 large language model
15 On Robustness and Reliability of Benchmark-Based Evaluation of LLMs 评估LLM在基准测试中对释义的鲁棒性，揭示其泛化能力局限性 large language model
16 VoxRole: A Comprehensive Benchmark for Evaluating Speech-Based Role-Playing Agents 提出VoxRole：用于评估语音角色扮演代理的综合基准 large language model
17 OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics OleSpeech-IV：一个大规模、多说话人、多语种、主题多样的会话语音数据集 TAMP
18 Why Language Models Hallucinate 揭示语言模型幻觉根源：训练与评估机制偏差导致模型倾向于猜测而非承认不确定性 large language model
19 Explicit and Implicit Data Augmentation for Social Event Detection 提出SED-Aug框架，结合显式文本增强和隐式特征增强，提升社交事件检测性能。 large language model ✅
20 Towards Stable and Personalised Profiles for Lexical Alignment in Spoken Human-Agent Dialogue 构建稳定、个性化的词汇配置文件，为对话Agent实现词汇对齐奠定基础 large language model
21 SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment 提出SelfAug，通过自对齐分布缓解RAG中的灾难性遗忘问题 large language model ✅
22 Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries Iti-Validator：用于验证和修正LLM生成行程的保障框架 large language model
23 False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize 揭示基于探针的恶意输入检测方法泛化性不足的根本原因 large language model ✅
24 Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth Drivel-ology：构建多语言“深度胡说”数据集，挑战LLM的语用理解能力 large language model
25 SiLVERScore: Semantically-Aware Embeddings for Sign Language Generation Evaluation 提出SiLVERScore，用于语义感知的姿势语言生成评估，显著优于传统指标。 multimodal
26 Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain 评估检索增强生成在医疗领域对抗性证据下的鲁棒性 large language model ✅

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

#题目一句话要点标签🔗⭐
27 Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs 构建安全LLM：提出基于提示攻击的威胁模型 distillation large language model

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