QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking.

Shubham Chatterjee|Jeff Dalton


Anthology ID:DBLP:conf/sigir/Chatterjee025
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:2255-2265
URL:https://doi.org/10.1145/3726302.3730065
DOI:https://doi.org/10.1145/3726302.3730065
DBLP:conf/sigir/Chatterjee025
BibTeX:
@inproceedings{chatterjee-2025-qder, author = {Shubham Chatterjee and Jeff Dalton}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking}}, 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 = {2255--2265}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730065}, doi = {https://doi.org/10.1145/3726302.3730065} }