Work

ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search

Year: 2025

Type: conference-paper

Abstract: We investigate the use of Large Language Models (LLMs) for resource selection in federated search, introducing ReSLLM, a novel prompting approach.

DOI: 10.1145/3701716.3715595

Authors: Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

Institutions: The University of Queensland, Commonwealth Scientific and Industrial Research Organisation

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Deutscher Akademischer Austauschdienst, Universitas Brawijaya

Award: G4032089403

OpenAlex ID: W4410636585

FWCI: 3.525

Cites: 18

Cited by: 3

Related to: 10