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Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data

25 May 2025
Manveer Singh Tamber
Suleman Kazi
Vivek Sourabh
Jimmy Lin
ArXiv (abs)PDFHTML

Papers citing "Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data"

2 / 2 papers shown
Title
NV-Retriever: Improving text embedding models with effective hard-negative mining
NV-Retriever: Improving text embedding models with effective hard-negative mining
Gabriel de Souza P. Moreira
Radek Osmulski
Mengyao Xu
Ronay Ak
Benedikt Schifferer
Even Oldridge
RALM
138
47
0
22 Jul 2024
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee
Rajarshi Roy
Mengyao Xu
Jonathan Raiman
Mohammad Shoeybi
Bryan Catanzaro
Ming-Yu Liu
RALM
298
205
0
27 May 2024
1