cs.CL（2024-04-06）

📊 共 14 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (10) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱七：动作重定向 (Motion Retargeting) (1)

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

#题目一句话要点标签🔗⭐
1 Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models 提出联合视觉与文本提示以提升多模态大语言模型的物体感知能力 large language model multimodal
2 PhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks 提出PhyloLM以推断大型语言模型的关系及性能 large language model
3 ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming 提出ALERT基准以评估大型语言模型的安全性 large language model
4 Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models 提出Q-PEFT以解决文本重排序中的查询依赖问题 large language model
5 Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind 提出多语言脑外科医生以解决语言资源不足问题 large language model
6 PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics 提出PoLLMgraph以解决大语言模型的幻觉问题 large language model
7 On the Limitations of Large Language Models (LLMs): False Attribution 提出简单幻觉指数以解决大语言模型的错误归因问题 large language model
8 Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm 提出基于Transformer的LLM文本生成检测工具以提高检测准确性 large language model
9 Navigating the Landscape of Hint Generation Research: From the Past to the Future 提出有效提示生成系统以促进自学过程 large language model
10 Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly 提出CLiKA框架以评估跨语言知识对齐问题 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
11 TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis 提出TCAN以解决多模态情感分析中的模态异质性问题 representation learning multimodal
12 Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective 提出理论框架以分析DPO的局限性 DPO direct preference optimization large language model
13 IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts 基于对比学习与自编码器的多语言语义文本相关性检测方法 contrastive learning

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
14 IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes 提出层次嵌入方法以检测表情包中的劝说技巧 motion prediction

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