An Empirical Study on Synthetic Data Augmentation for Code Comment Quality Classification.

Lakshay Khurana


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} }