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} }