cs.CL（2024-11-17）

📊 共 13 篇论文 | 🔗 4 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (12 🔗4) 支柱三：空间感知与语义 (Perception & Semantics) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning	提出重要性感知权重分配策略，缓解多模态大语言模型微调中的泛化能力退化问题	large language model multimodal
2	Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering	通过机制可解释性分析，理解LLaVA在视觉问答中的工作原理	large language model multimodal	✅
3	Debiasing Watermarks for Large Language Models via Maximal Coupling	提出基于最大耦合的无偏水印方法，用于大型语言模型，在保证文本质量的同时提高可检测性。	large language model
4	Multilingual Large Language Models: A Systematic Survey	多语言大型语言模型（MLLM）的系统性综述研究	large language model	✅
5	Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text	大型语言模型在正向和反向科学文本上表现相当，质疑类人处理假设	large language model
6	BianCang: A Traditional Chinese Medicine Large Language Model	提出BianCang：一个面向中医领域的大语言模型，提升中医诊断和辨证能力	large language model	✅
7	AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data	AddrLLM：基于大规模物流数据的地址重写大语言模型框架	large language model
8	SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation	提出SRA-MCTS，通过自驱动推理增强和蒙特卡洛树搜索提升代码生成能力	large language model chain-of-thought	✅
9	Capturing Sparks of Abstraction for the ARC Challenge	利用LLM从ARC挑战代码解决方案中提取抽象逻辑，提升问题理解能力	large language model
10	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text	提出SEFD框架，利用语义增强检测LLM生成文本，提升复述场景下的检测精度。	large language model
11	FastDraft: How to Train Your Draft	FastDraft：通过高效预训练和对齐，为大型语言模型快速训练Draft模型。	large language model
12	Analyzing Pokémon and Mario Streamers' Twitch Chat with LLM-based User Embeddings	提出基于LLM用户嵌入的Twitch聊天分析方法，用于理解游戏主播观众类型	large language model

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
13	Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis	利用AI和NLP改进银行营销：系统性回顾与差距分析，揭示NLP在客户旅程中的潜力。	semantic mapping semantic map

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