JINA EMBEDDINGS 2: 8192-Token General-Purpose Text Embeddings for Long Documents: Appendix by@escholar
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JINA EMBEDDINGS 2: 8192-Token General-Purpose Text Embeddings for Long Documents: Appendix
by EScholar: Electronic Academic Papers for ScholarsFebruary 23rd, 2024
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Text embedding models have emerged as powerful tools for transforming sentences into fixedsized feature vectors that encapsulate semantic information.
This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Michael Günther, michael.guenther;
(2) Jackmin Ong, jackmin.ong;
(3) Isabelle Mohr, isabelle.mohr;
(4) Alaeddine Abdessalem, alaeddine.abdessalem;
(5) Tanguy Abel, tanguy.abel;
(6) Mohammad Kalim Akram, kalim.akram;
(7) Susana Guzman, susana.guzman;
(8) Georgios Mastrapas, georgios.mastrapas;
(9) Saba Sturua, saba.sturua;
(10) Bo Wang, bo.wang;
(11) Maximilian Werk, maximilian.werk;
(12) Nan Wang, nan.wang;
(13) Han Xiao, han.xiao}@jina.ai.
Table of Links
- Abstract & Introduction
- Related Work
- Training Process Overview
- Backbone Pre-training
- Fine-Tuning for Embeddings
- Evaluation
- Conclusion & References
- Appendix
A Appendix
L O A D I N G
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