ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search
We investigate the use of Large Language Models (LLMs) for resource selection in federated search, introducing ReSLLM, a novel prompting approach.
Authors
- Shengyao Zhuang (ORCID: https://orcid.org/0000-0002-6711-0955)
- Guido Zuccon (ORCID: https://orcid.org/0000-0003-0271-5563)
- Bevan Koopman (ORCID: https://orcid.org/0000-0001-5577-3391)
- Shuai Wang (ORCID: https://orcid.org/0000-0002-0726-5250)
Institutions
- Commonwealth Scientific and Industrial Research Organisation (AU)
- The University of Queensland (AU)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3715595
- Citations
- 2
- Primary Topic
- Caching and Content Delivery
- Type
- article
- Field-Weighted Citation Impact
- 2.97
Funders
- Deutscher Akademischer Austauschdienst