cs.AI（2024-03-05）

📊 共 22 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) (14) 支柱二：RL算法与架构 (RL & Architecture) (7 🔗1) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (14 篇)

#	题目	一句话要点	标签	🔗	⭐
1	SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection	提出SNIFFER以解决OOC虚假信息检测问题	large language model multimodal
2	Should We Fear Large Language Models? A Structural Analysis of the Human Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens of Heidegger's Philosophy	通过海德格尔哲学分析人类推理系统以评估大型语言模型的能力与风险	large language model
3	Quantum Many-Body Physics Calculations with Large Language Models	利用大型语言模型进行量子多体物理计算	large language model
4	Evaluating and Optimizing Educational Content with Large Language Model Judgments	利用大型语言模型优化教育内容以提升学习效果	large language model
5	Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations	利用大语言模型提升电商推荐系统的用户兴趣理解能力	large language model
6	Large Language Models and Video Games: A Preliminary Scoping Review	对大型语言模型在视频游戏中的应用进行初步评估	large language model
7	EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs	提出EasyQuant以解决LLMs量化中的数据依赖问题	large language model
8	Cradle: Empowering Foundation Agents Towards General Computer Control	提出Cradle框架以解决基础代理在通用计算机控制中的泛化问题	generalist agent
9	Word Importance Explains How Prompts Affect Language Model Outputs	提出基于词重要性的方法以提升语言模型输出的可解释性	large language model
10	Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations	利用知识图谱提升基于LLM的学习推荐解释精确性	large language model
11	Localized Zeroth-Order Prompt Optimization	提出局部零阶提示优化方法以提升提示生成效率	large language model
12	PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers	提出PaperWeaver以增强学术论文推荐的上下文理解	large language model
13	DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting	提出DynST以解决资源受限的时空预测问题	TAMP
14	Towards Measuring and Modeling "Culture" in LLMs: A Survey	通过调查研究文化在大型语言模型中的表现与建模	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (7 篇)

#	题目	一句话要点	标签	🔗	⭐
15	CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models	提出CURATRON以解决大语言模型对人类价值观对齐的问题	preference learning large language model
16	RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging	提出基于强化学习的自主控制方法以解决社会化匝道合流问题	reinforcement learning deep reinforcement learning
17	Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination	提出基于目标想象的共识机制以解决多智能体协调问题	reinforcement learning
18	Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks	提出分层联邦学习框架以提升边缘计算推荐系统的效率	reinforcement learning deep reinforcement learning DRL
19	Multi-Scale Subgraph Contrastive Learning	提出多尺度子图对比学习以解决图结构复杂性问题	contrastive learning
20	PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning	提出PPS-QMIX以加速多智能体强化学习的收敛	reinforcement learning	✅
21	Fighting Game Adaptive Background Music for Improved Gameplay	提出自适应背景音乐以提升格斗游戏的游戏体验	reinforcement learning deep reinforcement learning

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

#	题目	一句话要点	标签	🔗	⭐
22	OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following	提出OPEx框架以分析LLM中心体代理在执行指令中的表现	egocentric large language model instruction following

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