Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval-Reference-Cited by-同舟云学术

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
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Author:

Zhuang Shengyao¹^ORCID,Shou Linjun²^ORCID,Pei Jian³^ORCID,Gong Ming²^ORCID,Ren Houxing⁴^ORCID,Zuccon Guido¹^ORCID,Jiang Daxin²^ORCID

Affiliation:

1. The University of Queensland, Australia

2. Microsoft, China

3. Duke University, USA

4. Beihang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624918.3625324

Reference57 articles.

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4. Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models

5. Towards Robust Dense Retrieval via Local Ranking Alignment