An Empirical Study on Synthetic Data Augmentation for Code Comment Quality Classification.
| Anthology ID: | DBLP:conf/fire/Khurana25 |
|---|---|
| Volume: | Working Notes of FIRE 2025 - Forum for Information Retrieval Evaluation, co-located with 17th Forum for Information Retrieval Evaluation (FIRE), Varanasi, India, December 17-20, 2025. |
| Year: | 2025 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | CEUR-WS.org |
| Pages: | 345-350 |
| URL: | https://ceur-ws.org/Vol-4173/T6-7.pdf |
| DBLP: | conf/fire/Khurana25 |
| BibTeX: |
@inproceedings{khurana-2025-empirical,
author = {Lakshay Khurana},
editor = {Kripabandhu Ghosh and
Thomas Mandl and
Sukomal Pal and
Srijoni Majumdar and
Anirban Chakraborty},
title = {{An Empirical Study on Synthetic Data Augmentation for Code Comment Quality Classification}},
booktitle = {{Working Notes of FIRE 2025 - Forum for Information Retrieval Evaluation, co-located with 17th Forum for Information Retrieval Evaluation (FIRE), Varanasi, India, December 17-20, 2025}},
series = {CEUR Workshop Proceedings},
volume = {4173},
pages = {345--350},
publisher = {CEUR-WS.org},
year = {2025},
url = {https://ceur-ws.org/Vol-4173/T6-7.pdf}
}