Ground Truth Alignment
Ground Truth Alignment is a data curation methodology in yield data cleaning that systematically reconciles observed yield measurements with authoritative reference standards to ensure empirical accuracy and measurement validity.
128
Publications
7.4K
Citations
486
Authors
200
Institutions
Publications per year
2017–2026
71
Parents
128
FAUST: Dataset and Evaluation for 3D Mesh Registration
Federica Bogo, Javier Romero, Matthew Loper et al. · 2014 · 704 citations
Colored Point Cloud Registration Revisited
Jaesik Park, Qian-Yi Zhou, Vladlen Koltun · 2017 · 332 citations
Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Sun · 2023 · 328 citations · Full text
Social Sciences, Social Psychology, Computational Linguistics +16
Xuaner Zhang, Qifeng Chen, Ren Ng et al. · 2019 · 270 citations
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200

Zhejiang University
Hangzhou, China
6 h-index
14 publications
1K citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
4 h-index
7 publications
141 citations
Columbia University
New York, United States
4 h-index
7 publications
338 citations

Linköping University
Linköping, Sweden
3 h-index
7 publications
608 citations
University of Kaiserslautern
Kaiserslautern, Germany
3 h-index
6 publications
104 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
3 h-index
5 publications
515 citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
11 publications
270 citations
Hebrew College
Brookline, United States
2 h-index
2 publications
149 citations
1–8 of 200
Repository · 10 publications · 373 citations
10
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4 publications · 97 citations
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3 publications · 83 citations
3
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CAS · 2 publications · 80 citations
2
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Conference · 2 publications · 431 citations
2
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