Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study

Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li and Diego Elias Costa

Paper (2025)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/65916/
Conference Title:	IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2025)
Conference Location:	Montreal, QC, Canada
Conference Date(s):	2025-03-04 - 2025-03-07
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/saner64311.2025.00070
Official URL:	https://doi.org/10.1109/saner64311.2025.00070
Date Deposited:	03 Jun 2025 10:19
Last Modified:	03 Jun 2025 10:19

Cite in APA 7:	Caumartin, G., Qin, Q., Chatragadda, S., Panjrolia, J., Li, H., & Elias Costa, D. (2025, March). Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2025), Montreal, QC, Canada. https://doi.org/10.1109/saner64311.2025.00070
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