The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes-Reference-Cited by-同舟云学术

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The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
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Author:

Reimers Nils,Gurevych Iryna

Publisher

Association for Computational Linguistics

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

2. A Model Based Systems Engineering Framework based on a Visual Programming Paradigm;AIAA SCITECH 2024 Forum;2024-01-04

3. LaQuE: Enabling Entity Search at Scale;Lecture Notes in Computer Science;2024

4. GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

5. Multi-grained unsupervised evidence retrieval for question answering;Neural Computing and Applications;2023-08-04

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