Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholding for Efficient Retrieval.

Wentai Xie|Parker Carlson|Shanxiu He|Tao Yang


Anthology ID:DBLP:conf/sigir/XieCHY26
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:2072-2083
URL:https://doi.org/10.1145/3805712.3809625
DOI:https://doi.org/10.1145/3805712.3809625
DBLP:conf/sigir/XieCHY26
BibTeX:
@inproceedings{xie-2026-adaptive, author = {Wentai Xie and Parker Carlson and Shanxiu He and Tao Yang}, 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 = {{Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholding for Efficient Retrieval}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {2072--2083}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809625}, doi = {https://doi.org/10.1145/3805712.3809625} }