M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation
Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai
Abstract
Repository-level code completion has drawn great attention in software engineering, and several benchmarks have been introduced. However, existing repository-level code completion benchmarks usually focus on a limited number of languages (<5), which cannot evaluate the general code intelligence abilities across different languages for existing code Large Language Models (LLMs). Besides, the existing benchmarks usually report overall average scores of different languages, where the fine-grained abilities in different completion scenarios are ignored. Therefore, to facilitate the research of code LLMs in multilingual scenarios, we propose a massively multilingual repository-level code completion benchmark covering 18 programming languages (called M2RC-EVAL), and two types of fine-grained annotations (i.e., bucket-level and semantic-level) on different completion scenarios are provided, where we obtain these annotations based on the parsed abstract syntax tree. Moreover, we also curate a massively multilingual instruction corpora M2RC-INSTRUCT dataset to improve the repository-level code completion abilities of existing code LLMs. Comprehensive experimental results demonstrate the effectiveness of our M2RC-EVAL and M2RC-INSTRUCT.
BibTeX
@inproceedings{liu-etal-2025-m2rc,
title = "{M}2{RC}-{EVAL}: Massively Multilingual Repository-level Code Completion Evaluation",
author = "Liu, Jiaheng and
Deng, Ken and
Liu, Congnan and
Yang, Jian and
Liu, Shukai and
Zhu, He and
Zhao, Peng and
Chai, Linzheng and
Wu, Yanan and
JinKe, JinKe and
Zhang, Ge and
Wang, Zekun Moore and
Zhang, Guoan and
Tan, Yingshui and
Xiang, Bangyu and
Zhang, Zhaoxiang and
Su, Wenbo and
Zheng, Bo",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.763/",
doi = "10.18653/v1/2025.acl-long.763",
pages = "15661--15684",
ISBN = "979-8-89176-251-0"
}