| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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