| 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 | 373 | 2021 |
| 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 | 75 | 2022 |
| 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 | 42 | 2020 |
| 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 | 34 | 2014 |
| Detector-tracker architecture Q Tan, S Tariq US Patent 10,825,188, 2020 | 19 | 2020 |
| Minimum bayes risk decoding with neural metrics of translation quality M Freitag, D Grangier, Q Tan, B Liang arXiv preprint arXiv:2111.09388, 2021 | 11 | 2021 |
| Experts M Freitag, G Foster, D Grangier, V Ratnakar, Q Tan, W Macherey Errors, and Context: A Large-Scale Study of Human Evaluation for Machine …, 2021 | 10 | 2021 |
| 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 | 9 | 2022 |
| Cross batch normalization S Guo, EM Pronovost, CJ Soohoo, Q Tan US Patent 11,568,259, 2023 | 8 | 2023 |
| Object or person attribute characterization Q Tan, S Tariq US Patent 11,789,456, 2023 | 7 | 2023 |
| On a spectral theorem of Weyl N Higson, Q Tan Expositiones Mathematicae 38 (2), 180-201, 2020 | 6 | 2020 |
| Object or person attribute characterization Q Tan, S Tariq US Patent 11,460,857, 2022 | 5 | 2022 |
| Mackey analogy via -modules for Q Tan, YJ Yao, S Yu International Journal of Mathematics 28 (07), 1750055, 2017 | 4 | 2017 |
| Machine-learning model structural pruning Q Tan US Patent 11,604,993, 2023 | 3 | 2023 |
| Toward more effective human evaluation for machine translation B Saldías, G Foster, M Freitag, Q Tan arXiv preprint arXiv:2204.05307, 2022 | 3 | 2022 |
| Machine-learning model structural merging Q Tan US Patent 11,003,955, 2021 | 2 | 2021 |
| Asymptotically Contained Representations and the Spherical Plancherel Formula Q Tan The Pennsylvania State University, 2019 | 2 | 2019 |
| On a spectral theorem of Weyl N Higson, Q Tan arXiv preprint arXiv:1611.03396, 2016 | 1 | 2016 |
| FINE-TUNING GENERATIVE MODEL UTILIZING INSTANCES AUTOMATICALLY GENERATED FROM LESS COMPUTATIONALLY EFFICIENT DECODING AND SUBSEQUENT UTILIZATION THEREOF WITH MORE … M Finkelstein, Q Tan, M Freitag, AP Shah US Patent App. 18/823,288, 2025 | | 2025 |
| Minimum Bayes Risk Decoding with Neural Quality Metrics Q Tan, M Freitag, D Grangier US Patent App. 17/673,714, 2023 | | 2023 |