Exploring Training and Inference Scaling Laws in Generative Retrieval.
Hongru Cai|Yongqi Li|Ruifeng Yuan|Wenjie Wang|Zhen Zhang|Wenjie Li|Tat-Seng Chua
| Anthology ID: | DBLP:conf/sigir/CaiLYWZLC25 |
|---|---|
| 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: | 1339-1349 |
| URL: | https://doi.org/10.1145/3726302.3729973 |
| DOI: | https://doi.org/10.1145/3726302.3729973 |
| DBLP: | conf/sigir/CaiLYWZLC25 |
| BibTeX: |
@inproceedings{cai-2025-exploring,
author = {Hongru Cai and
Yongqi Li and
Ruifeng Yuan and
Wenjie Wang and
Zhen Zhang and
Wenjie Li and
Tat-Seng Chua},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Exploring Training and Inference Scaling Laws in Generative Retrieval}},
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 = {1339--1349},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729973},
doi = {https://doi.org/10.1145/3726302.3729973}
}