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} }