Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations.

Jingfen Qiao|Jorge Sánchez|Andrew Yates|Yue Shi|Gabrielle Poerwawinata|Jingfen Qiao|Jorge Sánchez|Thong Nguyen|Jia-Huei Ju|Eugene Yang|Evangelos Kanoulas|Andrew Yates|Yue Shi


Anthology ID:DBLP:conf/sigir/QiaoPNJYKY26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:4052-4057
URL:https://doi.org/10.1145/3805712.3809842
DOI:https://doi.org/10.1145/3805712.3809842
DBLP:conf/sigir/QiaoPNJYKY26
BibTeX:
@inproceedings{qiao-2026-better, author = {Jingfen Qiao and Jorge S\'{a}nchez and Andrew Yates and Yue Shi and Gabrielle Poerwawinata and Jingfen Qiao and Jorge S\'{a}nchez and Thong Nguyen and Jia-Huei Ju and Eugene Yang and Evangelos Kanoulas and Andrew Yates and Yue Shi}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4052--4057}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809842}, doi = {https://doi.org/10.1145/3805712.3809842} }