ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search.
Shuai Wang|Shengyao Zhuang|Bevan Koopman|Guido Zuccon
| Anthology ID: | DBLP:conf/www/0032ZKZ25 |
|---|---|
| Volume: | Companion 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: | 1360-1364 |
| URL: | https://doi.org/10.1145/3701716.3715595 |
| DOI: | https://doi.org/10.1145/3701716.3715595 |
| DBLP: | conf/www/0032ZKZ25 |
| BibTeX: |
@inproceedings{wang-2025-resllm,
author = {Shuai Wang and
Shengyao Zhuang and
Bevan Koopman and
Guido Zuccon},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1360--1364},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715595},
doi = {https://doi.org/10.1145/3701716.3715595}
}