cs.AI(2023-10-12)

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支柱九:具身大模型 (Embodied Foundation Models) (7) 支柱二:RL算法与架构 (RL & Architecture) (3 🔗1)

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

#题目一句话要点标签🔗
1 Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models 提出Jigsaw以解决多模态应用原型设计整合难题 foundation model multimodal
2 Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles 提出基于大型语言模型的框架以提升自动驾驶决策能力 large language model chain-of-thought
3 Can Large Language Models Really Improve by Self-critiquing Their Own Plans? 探讨大型语言模型在自我批评计划中的有效性 large language model
4 Large Language Models for Scientific Synthesis, Inference and Explanation 提出利用大型语言模型进行科学合成与推理的方法 large language model
5 GROOT: Learning to Follow Instructions by Watching Gameplay Videos 提出GROOT以解决开放世界环境中的指令跟随问题 generalist agent instruction following
6 MemGPT: Towards LLMs as Operating Systems 提出MemGPT以解决大语言模型上下文窗口限制问题 large language model
7 GameGPT: Multi-agent Collaborative Framework for Game Development 提出GameGPT框架以解决游戏开发中的冗余与幻觉问题 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🔗
8 Novelty Detection in Reinforcement Learning with World Models 提出新颖性检测方法以提升强化学习代理的可靠性 reinforcement learning world model world models
9 Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning 提出知识图谱融合自监督学习以解决多模态电影类型分类问题 contrastive learning multimodal
10 Learning from models beyond fine-tuning 提出学习模型以解决大模型训练数据不可得问题 distillation foundation model

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