cs.AI(2024-06-27)

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支柱九:具身大模型 (Embodied Foundation Models) (4 🔗1) 支柱一:机器人控制 (Robot Control) (1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
1 Meta Large Language Model Compiler: Foundation Models of Compiler Optimization 提出Meta LLM Compiler,用于代码优化任务的基础模型,提升编译器性能。 large language model foundation model
2 FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models FLEXI:通过开放大语言模型赋能高等教育实验与创新 large language model
3 Harnessing LLMs for Automated Video Content Analysis: An Exploratory Workflow of Short Videos on Depression 探索LLM在视频内容分析中的应用:以抑郁症短视频为例的自动化分析流程 large language model multimodal
4 Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services 提出Chat AI以解决HPC环境下LLM服务的安全与效率问题 large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
5 Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions 提出HA-VLN框架,通过动态人类交互,提升视觉语言导航在现实场景中的应用。 sim2real decision transformer embodied AI

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

#题目一句话要点标签🔗
6 Knowledge acquisition for dialogue agents using reinforcement learning on graph representations 提出基于强化学习和知识图谱的对话Agent知识获取方法,无需人工反馈。 reinforcement learning

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