Static Pruning for Multi-Representation Dense Retrieval-Reference-Cited by-同舟云学术

Static Pruning for Multi-Representation Dense Retrieval

Published:2023-08-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Symposium on Document Engineering 2023
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Author:

Acquavia Antonio¹^ORCID,Macdonald Craig²^ORCID,Tonellotto Nicola¹^ORCID

Affiliation:

1. University of Pisa, Italy

2. University of Glasgow, UK

Funder

Italian Government

European Union ? NextGenerationEU

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573128.3604896

Reference47 articles.

1. Soner Altin , Ricardo Baeza-Yates , and B. Barla Cambazoglu . 2020. Pre-indexing Pruning Strategies . In Proc. SPIRE. 177--193 . Soner Altin, Ricardo Baeza-Yates, and B. Barla Cambazoglu. 2020. Pre-indexing Pruning Strategies. In Proc. SPIRE. 177--193.

2. Static index pruning in web search engines

3. Ricardo Baeza-Yates , Aristides Gionis , Flavio P. Junqueira , Vanessa Murdock , Vassilis Plachouras , and Fabrizio Silvestri . 2008. Design trade-offs for search engine caching. ACM TWEB 2 ( 2008 ), 20:1--20:28. Issue 4. Ricardo Baeza-Yates, Aristides Gionis, Flavio P. Junqueira, Vanessa Murdock, Vassilis Plachouras, and Fabrizio Silvestri. 2008. Design trade-offs for search engine caching. ACM TWEB 2 (2008), 20:1--20:28. Issue 4.

4. Payal Bajaj , Daniel Campos , Nick Craswell , Li Deng , Jianfeng Gao , Xiaodong Liu , Rangan Majumder , Andrew McNamara , Bhaskar Mitra , Tri Nguyen , Mir Rosenberg , Xia Song , Alina Stoica , Saurabh Tiwary , and Tong Wang . 2016 . MS MARCO: A Human Generated MAchine Reading COmprehension Dataset . In Proc. InCoCo@NIPS. Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2016. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. In Proc. InCoCo@NIPS.

5. Jo Kristian Bergum. 2021. Pretrained Transformer Language Models for Search - part 4. https://blog.vespa.ai/pretrained-transformer-language-models-for-search-part-4/ Jo Kristian Bergum. 2021. Pretrained Transformer Language Models for Search - part 4. https://blog.vespa.ai/pretrained-transformer-language-models-for-search-part-4/

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