cs.CL（2024-12-21）

📊 共 12 篇论文 | 🔗 2 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (10 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (10 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models	提出JMLLM：一种混合策略多模态对抗攻击方法，提升大语言模型安全性	large language model multimodal
2	Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models	提出知识网络思维(kNoT)，通过LLM工作流模板提升大语言模型的推理能力。	large language model chain-of-thought
3	AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles	提出 AlzheimerRAG，利用多模态检索增强生成技术解决阿尔茨海默症临床问题。	large language model multimodal
4	Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification	利用大型语言模型检测和分类COVID-19相关科学声明，助力对抗信息疫情	large language model
5	MERaLiON-TextLLM: Cross-Lingual Understanding of Large Language Models in Chinese, Indonesian, Malay, and Singlish	MERaLiON-TextLLM：提升中文、印尼语、马来语和Singlish的LLM跨语言理解能力	large language model
6	Quantum-Like Contextuality in Large Language Models	提出量子上下文性模型以解决自然语言处理中的语义问题	large language model
7	NILE: Internal Consistency Alignment in Large Language Models	NILE：通过内部一致性对齐提升大型语言模型指令微调效果	large language model
8	Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types	提出MMSQL以解决多轮文本到SQL转换中的多样化问题	large language model	✅
9	Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models	分析全注意力预训练语言模型并行上下文编码，发现注意力熵是关键因素。	large language model
10	Chained Tuning Leads to Biased Forgetting	链式调优导致大语言模型产生偏差性遗忘，安全性受损	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
11	Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval	提出RaHoRe框架，利用大语言模型解决基于隐藏推理的检索任务。	DPO direct preference optimization large language model	✅
12	Distilling Large Language Models for Efficient Clinical Information Extraction	利用知识蒸馏，高效提取临床信息，降低LLM计算成本。	distillation large language model

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