W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.
Jinming Nian|Zhiyuan Peng|Qifan Wang|Yi Fang
| Anthology ID: | DBLP:conf/ictir/Nian00025 |
|---|---|
| Volume: | Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025 |
| Year: | 2025 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 136-146 |
| URL: | https://doi.org/10.1145/3731120.3744578 |
| DOI: | https://doi.org/10.1145/3731120.3744578 |
| DBLP: | conf/ictir/Nian00025 |
| BibTeX: |
@inproceedings{nian-2025-wrag,
author = {Jinming Nian and
Zhiyuan Peng and
Qifan Wang and
Yi Fang},
editor = {Hamed Zamani and
Laura Dietz and
Benjamin Piwowarski and
Sebastian Bruch},
title = {{W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering}},
booktitle = {{Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025}},
pages = {136--146},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3731120.3744578},
doi = {https://doi.org/10.1145/3731120.3744578}
}