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“as expected in high-dimensional sparse voting data (Beyer et al., 1999).”
From Benchmarking Overton Pluralism in LLMs (2025) · cites this paper as Beyer et al., 1999
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Metadata
- Authors
- Beyer, K., Goldstein, J., Ramakrishnan, R., & Shaft, U.
- Affiliations
- University of Wisconsin–Madison (US)
- ORCID
- Ramakrishnan, Raghu
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1999
- Pages
- 217-235
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1672197616
- Cited by
- 2,403
- References
- 31
- Citations by year
- 2026: 67 · 2025: 84 · 2024: 86 · 2023: 82 · 2022: 81 · 2021: 102 · 2020: 112 · 2019: 128 · 2018: 112 · 2017: 99 · 2016: 117 · 2015: 110 · 2014: 119 · 2013: 127 · 2012: 115
- FWCI
- 38.88
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Minds at UW (University of Wisconsin) (submittedVersion)
- Funders
- David and Lucile Packard Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Management and Algorithms
- Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Keywords
- nearest neighbor search, high-dimensional indexing, curse of dimensionality, nearest neighbor distance, linear scan
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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