Cross-platform Benchmarking
Cross-Platform Benchmarking is a formal evaluation framework that systematically measures and compares the performance, behavior, or outcomes of entities, processes, or systems across multiple digital platforms using standardized metrics and aligned experimental conditions to enable valid cross-contextual analysis.
58
Publications
3.2K
Citations
324
Authors
140
Institutions
Publications per year
2017–2026
25
Parents
58
Yaoming Zhu, Sidi Lu, Lei Zheng et al. · 2018 · 398 citations
A Continuously Growing Dataset of Sentential Paraphrases
Wuwei Lan, Siyu Qiu, Hua He et al. · 2017 · 160 citations · Full text
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu, Sidi Lu, Lei Zheng et al. · arXiv (Cornell University) · 2018 · 156 citations · Full text
1–5 of 58
324
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 324
140
Technische Universität Dresden
Dresden, Germany
4 h-index
10 publications
146 citations
Università della Svizzera italiana
Lugano, Switzerland
2 h-index
4 publications
228 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
297 citations
Stanford University
Stanford, United States
2 h-index
5 publications
529 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
607 citations
The University of Texas at Austin
Austin, United States
2 h-index
8 publications
254 citations
Google (United States)
Mountain View, United States
2 h-index
5 publications
415 citations
Harvard University
Cambridge, United States
2 h-index
9 publications
1K citations
1–8 of 140
Repository · 4 publications · 227 citations
4
h-index
Repository · 1 publications · 16 citations
1
h-index
1 publications · 89 citations
1
h-index
1 publications · 59 citations
1
h-index
TMCCI · 1 publications · 19 citations
1
h-index
1–5