cs.AI（2024-03-08）

📊 共 13 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) (7 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (5) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (7 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Tell me the truth: A system to measure the trustworthiness of Large Language Models	提出一种系统以测量大型语言模型的可信度	large language model
2	IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems	提出IsolateGPT以解决LLM应用的执行隔离问题	large language model
3	Can Large Language Models Play Games? A Case Study of A Self-Play Approach	提出自我博弈方法以提升大语言模型在游戏中的表现	large language model
4	BjTT: A Large-scale Multimodal Dataset for Traffic Prediction	提出ChatTraffic以解决交通预测中的数据不足问题	multimodal	✅
5	DP-TabICL: In-Context Learning with Differentially Private Tabular Data	提出DP-TabICL以保护表格数据隐私并实现上下文学习	large language model
6	Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach	提出CLEAR框架以解决LLM部署中的可解释性与自我纠错问题	large language model
7	Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents	提出Tapilot-Crossing以评估交互式数据分析代理的性能	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
8	Aligning Large Language Models for Controllable Recommendations	提出基于强化学习的对齐方法以提升推荐系统的可控性	reinforcement learning large language model
9	Sora as a World Model? A Complete Survey on Text-to-Video Generation	系统评估文本到视频生成技术在世界建模中的应用	world model world models
10	Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines	提出层次化奖励机器以解决复杂多智能体强化学习问题	reinforcement learning policy learning
11	RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction	提出RLPeri以优化视觉测量测试效率	reinforcement learning reward shaping
12	Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem	提出PCSEL逆向设计变换器以解决数据效率低下问题	reinforcement 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	🔗	⭐
13	Debiased Multimodal Understanding for Human Language Sequences	提出SuCI模块以解决多模态语言理解中的主观偏差问题	HuMoR multimodal

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