In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code.
Susmita Das|Madhusudan Ghosh|Priyanka Swami|Debasis Ganguly|Gul Calikli
| Anthology ID: | DBLP:conf/sigir/DasGSGC25 |
|---|---|
| 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: | 2890-2894 |
| URL: | https://doi.org/10.1145/3726302.3730212 |
| DOI: | https://doi.org/10.1145/3726302.3730212 |
| DBLP: | conf/sigir/DasGSGC25 |
| BibTeX: |
@inproceedings{das-2025-incontext,
author = {Susmita Das and
Madhusudan Ghosh and
Priyanka Swami and
Debasis Ganguly and
Gul Calikli},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code}},
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 = {2890--2894},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730212},
doi = {https://doi.org/10.1145/3726302.3730212}
}