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LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language
  Models and Doc-Level Embedding

LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding

8 April 2024
Mingrui Wu
Sheng Cao
    KELM
    RALM
ArXivPDFHTML

Papers citing "LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding"

2 / 2 papers shown
Title
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via
  Model Fusion of Embedding Models
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models
Ambuje Gupta
Mrinal Rawat
Andreas Stolcke
Roberto Pieraccini
RALM
14
1
0
16 Oct 2024
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
1