cs.CL（2023-10-15）

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支柱九：具身大模型 (Embodied Foundation Models) (8 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗⭐
1 Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming 提出LLM-SS框架以解决开放学习领域学生建模问题 large language model
2 VLIS: Unimodal Language Models Guide Multimodal Language Generation 提出VLIS框架以解决多模态语言生成中的复杂理解问题 multimodal
3 Assessing the Reliability of Large Language Model Knowledge 提出MONITOR以评估大型语言模型的知识可靠性 large language model ✅
4 Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining 提出ImageArg共享任务以推动多模态论证挖掘研究 multimodal
5 KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models 提出KGQuiz基准以评估大语言模型的知识泛化能力 large language model
6 In-Context Learning with Iterative Demonstration Selection 提出迭代示例选择方法以优化上下文学习效果 large language model chain-of-thought
7 FiLM: Fill-in Language Models for Any-Order Generation 提出FiLM以解决语言模型生成顺序限制问题 large language model
8 Enhancing Stance Classification on Social Media Using Quantified Moral Foundations 通过量化道德基础提升社交媒体立场分类 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🔗⭐
9 Large Language Model-Aware In-Context Learning for Code Generation 提出LAIL以优化代码生成中的示例选择问题 contrastive learning large language model
10 HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings 提出HiCL框架以解决无监督句子嵌入的训练效率问题 representation learning contrastive learning

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