cs.CL（2024-04-21）

📊 共 9 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (6 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)

#	题目	一句话要点	标签	🔗	⭐
1	SciDaSynth: Interactive Structured Data Extraction from Scientific Literature with Large Language Model	提出SciDaSynth以解决科学文献中结构化数据提取问题	large language model multimodal	✅
2	Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images	提出多模态LLM以低成本再现自然与AI生成图像	multimodal
3	Trojan Detection in Large Language Models: Insights from The Trojan Detection Challenge	探讨大型语言模型中的特洛伊木马检测挑战与解决方案	large language model
4	NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding	提出NegotiationToM以评估机器的理论心智在谈判中的表现	large language model chain-of-thought
5	EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions	提出EPI-SQL以解决文本到SQL转换中的错误问题	large language model
6	Evaluating Retrieval Quality in Retrieval-Augmented Generation	提出eRAG以解决检索增强生成评估问题	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	🔗	⭐
7	IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models	提出IMO以解决领域外文本分类问题	representation learning IMoS
8	ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval	提出ChatRetriever以解决复杂对话检索问题	contrastive learning large language model

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	"A good pun is its own reword": Can Large Language Models Understand Puns?	提出新评估方法以提升大语言模型对双关语的理解能力	HuMoR large language model

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