LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum.
Zhichao Xu|Shengyao Zhuang|Crystina Zhang|Xueguang Ma|Yijun Tian|Maitrey Mehta|Jimmy Lin|Vivek Srikumar
| Anthology ID: | DBLP:conf/sigir/XuZZMTMLS26 |
|---|---|
| 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: | 4298-4304 |
| URL: | https://doi.org/10.1145/3805712.3809869 |
| DOI: | https://doi.org/10.1145/3805712.3809869 |
| DBLP: | conf/sigir/XuZZMTMLS26 |
| BibTeX: |
@inproceedings{xu-2026-laconic,
author = {Zhichao Xu and
Shengyao Zhuang and
Crystina Zhang and
Xueguang Ma and
Yijun Tian and
Maitrey Mehta and
Jimmy Lin and
Vivek Srikumar},
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 = {{LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {4298--4304},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809869},
doi = {https://doi.org/10.1145/3805712.3809869}
}