cs.AI（2024-03-18）

📊 共 8 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) (6 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1) 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	Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification	通过融合领域特定内容提升零-shot物体状态分类性能	large language model
2	HDLdebugger: Streamlining HDL debugging with Large Language Models	提出HDLdebugger以解决HDL调试效率低下问题	large language model
3	Leveraging Large Language Models to Detect npm Malicious Packages	提出SocketAI以提高npm恶意包检测的准确性	large language model
4	How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments	提出GAMA(γ)-Bench框架以评估LLMs在多智能体环境中的决策能力	large language model chain-of-thought	✅
5	Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies	提出统计评估框架以验证AI对人类决策的影响	large language model
6	Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot	提出LLM增强自主体以解决合作能力不足问题	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data	提出PESCAL以解决观察数据中的混淆偏差问题	reinforcement learning policy learning offline reinforcement learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
8	Usability and Performance Analysis of Embedded Development Environment for On-device Learning	评估嵌入式开发环境以优化设备端TinyML学习	manipulation

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