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InPars-v2: Large Language Models as Efficient Dataset Generators for
  Information Retrieval

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval

4 January 2023
Vitor Jeronymo
L. Bonifacio
Hugo Queiroz Abonizio
Marzieh Fadaee
R. Lotufo
Jakub Zavrel
Rodrigo Nogueira
    RALM
    SyDa
ArXivPDFHTML

Papers citing "InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval"

4 / 54 papers shown
Title
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
19
15
0
17 Feb 2023
ExaRanker: Explanation-Augmented Neural Ranker
ExaRanker: Explanation-Augmented Neural Ranker
Fernando Ferraretto
Thiago Laitz
R. Lotufo
Rodrigo Nogueira
ELM
LRM
28
7
0
25 Jan 2023
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
Leonid Boytsov
Preksha Patel
Vivek Sourabh
Riddhi Nisar
Sayan Kundu
R. Ramanathan
Eric Nyberg
19
19
0
08 Jan 2023
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
229
961
0
17 Apr 2021
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