360∘REA: Towards A Reusable Experience Accumulation with 360∘ Assessment for Multi-Agent System

Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, Minlie Huang


Anthology ID:
2024.findings-acl.778
Volume:
Findings of the Association for Computational Linguistics: ACL 2024
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Lun-Wei Ku, Andre Martins, Vivek Srikumar
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
13149–13162
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2024.findings-acl.778/
DOI:
10.18653/v1/2024.findings-acl.778
Bibkey:
Cite (ACL):
Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, and Minlie Huang. 2024. 360∘REA: Towards A Reusable Experience Accumulation with 360∘ Assessment for Multi-Agent System. In Findings of the Association for Computational Linguistics: ACL 2024, pages 13149–13162, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
360∘REA: Towards A Reusable Experience Accumulation with 360∘ Assessment for Multi-Agent System (Gao et al., Findings 2024)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2024.findings-acl.778.pdf