CodeSim: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging

Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez


Anthology ID:
2025.findings-naacl.285
Volume:
Findings of the Association for Computational Linguistics: NAACL 2025
Month:
April
Year:
2025
Address:
Albuquerque, New Mexico
Editors:
Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
5113–5139
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.285/
DOI:
Bibkey:
Cite (ACL):
Md. Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez. 2025. CodeSim: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 5113–5139, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):
CodeSim: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging (Islam et al., Findings 2025)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.285.pdf