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Qijun Tan
Qijun Tan
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Title
Cited by
Cited by
Year
Experts, errors, and context: A large-scale study of human evaluation for machine translation
M Freitag, G Foster, D Grangier, V Ratnakar, Q Tan, W Macherey
Transactions of the Association for Computational Linguistics 9, 1460-1474, 2021
2492021
High quality rather than high model probability: Minimum Bayes risk decoding with neural metrics
M Freitag, D Grangier, Q Tan, B Liang
Transactions of the Association for Computational Linguistics 10, 811-825, 2022
392022
Learning to evaluate translation beyond English: BLEURT submissions to the WMT metrics 2020 shared task
T Sellam, A Pu, HW Chung, S Gehrmann, Q Tan, M Freitag, D Das, ...
arXiv preprint arXiv:2010.04297, 2020
372020
Potential function in a continuous dissipative chaotic system: decomposition scheme and role of strange attractor
Y Ma, Q Tan, R Yuan, B Yuan, P Ao
International Journal of Bifurcation and Chaos 24 (02), 1450015, 2014
292014
Detector-tracker architecture
Q Tan, S Tariq
US Patent 10,825,188, 2020
152020
Minimum bayes risk decoding with neural metrics of translation quality
M Freitag, D Grangier, Q Tan, B Liang
arXiv preprint arXiv:2111.09388, 2021
112021
THE EXPERT
MDMD Freitag
102021
Cross batch normalization
S Guo, EM Pronovost, CJ Soohoo, Q Tan
US Patent 11,568,259, 2023
62023
Toward more effective human evaluation for machine translation
BS Fuentes, G Foster, M Freitag, Q Tan
Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval …, 2022
62022
On a spectral theorem of Weyl
N Higson, Q Tan
Expositiones Mathematicae 38 (2), 180-201, 2020
62020
Object or person attribute characterization
Q Tan, S Tariq
US Patent 11,460,857, 2022
42022
Mackey analogy via -modules for
Q Tan, YJ Yao, S Yu
International Journal of Mathematics 28 (07), 1750055, 2017
32017
Toward more effective human evaluation for machine translation
B Saldías, G Foster, M Freitag, Q Tan
arXiv preprint arXiv:2204.05307, 2022
22022
Asymptotically Contained Representations and the Spherical Plancherel Formula
Q Tan
The Pennsylvania State University, 2019
22019
Machine-learning model structural pruning
Q Tan
US Patent 11,604,993, 2023
12023
Machine-learning model structural merging
Q Tan
US Patent 11,003,955, 2021
12021
On a spectral theorem of Weyl
N Higson, Q Tan
arXiv preprint arXiv:1611.03396, 2016
12016
Object or person attribute characterization
Q Tan, S Tariq
US Patent 11,789,456, 2023
2023
Minimum Bayes Risk Decoding with Neural Quality Metrics
Q Tan, M Freitag, D Grangier
US Patent App. 17/673,714, 2023
2023
Detector-tracker architecture
Q Tan, S Tariq
US Patent 11,379,998, 2022
2022
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