cs.CL（2025-01-05）

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支柱九：具身大模型 (Embodied Foundation Models) (11 🔗2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#	题目	一句话要点	标签	🔗	⭐
1	LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models	LatteReview：一个基于大型语言模型的多智能体系统综述自动化框架	large language model multimodal
2	Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification	提出中文多模态隐喻数据集CM3D与基于CoT的隐喻映射识别模型CPMMIM，提升隐喻理解能力。	multimodal chain-of-thought
3	Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm	评估大型语言模型在潜在内容分析中与人工标注者的对比：情感、政治倾向、情感强度和讽刺	large language model
4	Hengqin-RA-v1: Advanced Large Language Model for Diagnosis and Treatment of Rheumatoid Arthritis with Dataset based Traditional Chinese Medicine	Hengqin-RA-v1：首个针对中医风湿性关节炎诊疗的大语言模型	large language model
5	Flash Interpretability: Decoding Specialised Feature Neurons in Large Language Models with the LM-Head	利用LM-Head解码LLM特征神经元，实现快速且低成本的可解释性分析	large language model
6	ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use	ToolHop：一个查询驱动的多跳工具使用大语言模型评测基准	large language model	✅
7	Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications	提出MedOmniKB与Source Planning Optimisation方法，增强医学领域大语言模型的检索增强生成能力	large language model
8	Multi-LLM Collaborative Caption Generation in Scientific Documents	提出MLBCAP框架，利用多LLM协作生成高质量科学文档图表标题。	large language model multimodal	✅
9	ComMer: a Framework for Compressing and Merging User Data for Personalization	ComMer：一种压缩和合并用户数据的个性化框架，解决LLM个性化应用的资源瓶颈。	large language model
10	Decoding News Bias: Multi Bias Detection in News Articles	提出一种基于LLM的新闻偏见多领域检测方法，旨在提升新闻文章的客观性和可信度。	large language model
11	Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap	提出UST方法，提升大语言模型在韩语数学推理任务中的性能	large language model

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