Bi-encoder Ranking
Bi-Encoder Ranking is a retrieval method in information retrieval that employs two separate encoder networks to independently map queries and documents into a shared latent space, where relevance is determined by computing similarity scores between the encoded representations.
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384
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15
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8
Institutions
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2017–2026
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Scalable Zero-shot Entity Linking with Dense Entity Retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski et al. · 2020 · 338 citations · Full text
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski et al. · arXiv (Cornell University) · 2019 · 20 citations · Full text
Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du et al. · 2023 · 15 citations
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University College London
London, United Kingdom
1 h-index
1 publications
338 citations
Naver (South Korea)
Seongnam-si, South Korea
1 h-index
1 publications
11 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
1 publications
338 citations

Renmin University of China
Beijing, China
1 h-index
2 publications
30 citations
Seoul National University
Seoul, South Korea
1 h-index
3 publications
33 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
1 publications
15 citations
Meta (Israel)
Tel Aviv, Israel
1 h-index
4 publications
1.4K citations
Microsoft Research Asia (China)
Beijing, China
1 h-index
3 publications
45 citations
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Repository · 1 publications · 20 citations
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Conference · 1 publications · 11 citations
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