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Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for
  Embedding Model Selection

Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection

30 March 2024
Vivek Khetan
ArXivPDFHTML

Papers citing "Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection"

2 / 2 papers shown
Title
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
232
422
0
24 Jan 2022
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
264
975
0
17 Apr 2021
1