Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching.
Yihan Wang|Fei Xiong|Zhexin Han|Qi Song|Kaiqiao Zhan|Ben Wang
| Anthology ID: | DBLP:conf/www/WangXHSZW25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 304-312 |
| URL: | https://doi.org/10.1145/3696410.3714829 |
| DOI: | https://doi.org/10.1145/3696410.3714829 |
| DBLP: | conf/www/WangXHSZW25 |
| BibTeX: |
@inproceedings{wang-2025-unleashing,
author = {Yihan Wang and
Fei Xiong and
Zhexin Han and
Qi Song and
Kaiqiao Zhan and
Ben Wang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {304--312},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714829},
doi = {https://doi.org/10.1145/3696410.3714829}
}