ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Author:
Affiliation:
1. University of Alberta,Canada
2. Swiss Federal Institute of Technology Lausanne (EPFL),Switzerland
3. The University of Tokyo,Japan
Funder
Natural Sciences and Engineering Research Council of Canada
JST-Mirai Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610065.pdf?arnumber=10610065
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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. TIC: Translate-Infer-Compile for Accurate “Text to Plan” Using LLMs and Logical Representations;Lecture Notes in Computer Science;2024
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