Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark.
Ruida Hu|Chao Peng|Jingyi Ren|Bo Jiang|Xiangxin Meng|Qinyun Wu|Pengfei Gao|Xinchen Wang|Cuiyun Gao
| Anthology ID: | DBLP:conf/sigir/HuPRJMWGWG25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3025-3029 |
| URL: | https://doi.org/10.1145/3726302.3730262 |
| DOI: | https://doi.org/10.1145/3726302.3730262 |
| DBLP: | conf/sigir/HuPRJMWGWG25 |
| BibTeX: |
@inproceedings{hu-2025-understanding,
author = {Ruida Hu and
Chao Peng and
Jingyi Ren and
Bo Jiang and
Xiangxin Meng and
Qinyun Wu and
Pengfei Gao and
Xinchen Wang and
Cuiyun Gao},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3025--3029},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730262},
doi = {https://doi.org/10.1145/3726302.3730262}
}