cs.AI（2023-12-16）

📊 共 10 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (6) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱一：机器人控制 (Robot Control) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare	CLIPSyntel：利用CLIP和LLM协同进行医疗多模态问题总结，提升患者护理。	large language model foundation model multimodal
2	M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base	提出M^2ConceptBase：一个细粒度对齐的概念中心多模态知识库	large language model multimodal
3	When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning	提出一种基于图数据多模态融合的新范式，用于图理解与推理	large language model multimodal
4	Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing	IntDiagSolver：利用大语言模型交互式诊断并修复环境相关崩溃错误	large language model
5	A Comparative Analysis of Large Language Models for Code Documentation Generation	对比分析大型语言模型在代码文档生成中的性能表现	large language model
6	SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification	SPT：通过稀疏化高效微调Transformer语言模型	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	🔗	⭐
7	Robust Communicative Multi-Agent Reinforcement Learning with Active Defense	提出ADMAC框架，通过主动防御提升多智能体通信在对抗攻击下的鲁棒性。	reinforcement learning
8	ProTIP: Progressive Tool Retrieval Improves Planning	ProTIP：通过渐进式工具检索提升规划能力	contrastive learning large language model
9	Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction	提出自监督解耦表示学习方法，提升目标语音提取的鲁棒性，减少说话人混淆。	representation learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
10	MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion	MusER：基于音乐元素的正则化方法用于生成具有情感的符号音乐	manipulation VQ-VAE

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