Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition.
Omar Alonso|Shuai Wang|Zheng Yao|Omar Alonso|Shuai Wang|Guido Zuccon
| Anthology ID: | DBLP:conf/sigir/Yao0Z25 |
|---|---|
| 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: | 3276-3285 |
| URL: | https://doi.org/10.1145/3726302.3730332 |
| DOI: | https://doi.org/10.1145/3726302.3730332 |
| DBLP: | conf/sigir/Yao0Z25 |
| BibTeX: |
@inproceedings{alonso-2025-pretraining,
author = {Omar Alonso and
Shuai Wang and
Zheng Yao and
Omar Alonso and
Shuai Wang and
Guido Zuccon},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition}},
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 = {3276--3285},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730332},
doi = {https://doi.org/10.1145/3726302.3730332}
}