cs.CL（2025-01-19）

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支柱九：具身大模型 (Embodied Foundation Models) (13 🔗2) 支柱一：机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗⭐
1 Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data 提出LPE框架，利用思维链提升语音对话中的共情能力，无需额外的问答数据。 large language model multimodal chain-of-thought
2 A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods 综述：融合大型语言模型与知识库方法，提升AI能力 large language model
3 Clinical trial cohort selection using Large Language Models on n2c2 Challenges 利用大型语言模型解决n2c2挑战中的临床试验队列选择问题 large language model
4 InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models 提出InsQABench，用于评估大语言模型在中文保险领域问答任务中的性能 large language model ✅
5 Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective 提出Chain-of-Reasoning框架，通过多范式融合提升大语言模型数学推理能力 large language model
6 LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models LF-Steering：通过激活潜在特征引导提升大语言模型的语义一致性 large language model
7 LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice LegalGuardian：一种保护隐私的框架，用于安全地将大型语言模型集成到法律实践中 large language model
8 AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis AIMA提出简单而强大的情感原因对分析模型，用于对话场景下的情感原因抽取。 multimodal
9 IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems IntellAgent：用于评估对话式AI系统的多智能体框架 large language model ✅
10 Dagger Behind Smile: Fool LLMs with a Happy Ending Story 提出Happy Ending Attack，利用积极提示诱导大语言模型产生恶意内容 large language model
11 Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks 利用Agentic AI和自然语言框架缓解生成式AI中的幻觉问题 large language model
12 The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs 提出Alternative Annotator Test，验证LLM作为标注者替代人类标注的合理性 large language model
13 Self-Explanation in Social AI Agents 提出基于自模型的社交AI助手自解释方法，提升透明度和信任度 chain-of-thought

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
14 Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach 提出一种面向可解释性的模型编辑方法，提升大语言模型语义一致性 manipulation large language model

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