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

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

31 January 2024
Shuai Wang
Shengyao Zhuang
Bevan Koopman
Guido Zuccon
ArXivPDFHTML

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

3 / 3 papers shown
Title
Efficient Federated Search for Retrieval-Augmented Generation
Efficient Federated Search for Retrieval-Augmented Generation
R. Guerraoui
Anne-Marie Kermarrec
Diana Petrescu
Rafael Pires
Mathis Randl
M. Vos
RALM
81
0
0
26 Feb 2025
Federated Retrieval Augmented Generation for Multi-Product Question Answering
Parshin Shojaee
Sai Sree Harsha
Dan Luo
Akash Maharaj
Tong Yu
Yunyao Li
35
3
0
28 Jan 2025
FeB4RAG: Evaluating Federated Search in the Context of Retrieval
  Augmented Generation
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
Shuai Wang
Ekaterina Khramtsova
Shengyao Zhuang
Guido Zuccon
21
11
0
19 Feb 2024
1