Scaling up visual and vision-language representation learning with noisy text supervision C Jia, Y Yang, Y Xia, YT Chen, Z Parekh, H Pham, Q Le, YH Sung, Z Li, ... International conference on machine learning, 4904-4916, 2021 | 2879 | 2021 |
Universal sentence encoder D Cer, Y Yang, S Kong, N Hua, N Limtiaco, RS John, N Constant, ... arXiv preprint arXiv:1803.11175, 2018 | 1464 | 2018 |
Multilingual universal sentence encoder for semantic retrieval Y Yang, D Cer, A Ahmad, M Guo, J Law, N Constant, GH Abrego, S Yuan, ... arXiv preprint arXiv:1907.04307, 2019 | 507 | 2019 |
Efficient natural language response suggestion for smart reply M Henderson, R Al-Rfou, B Strope, YH Sung, L Lukács, R Guo, S Kumar, ... arXiv preprint arXiv:1705.00652, 2017 | 355 | 2017 |
LongT5: Efficient text-to-text transformer for long sequences M Guo, J Ainslie, D Uthus, S Ontanon, J Ni, YH Sung, Y Yang arXiv preprint arXiv:2112.07916, 2021 | 222 | 2021 |
Learning semantic textual similarity from conversations Y Yang, S Yuan, D Cer, S Kong, N Constant, P Pilar, H Ge, YH Sung, ... arXiv preprint arXiv:1804.07754, 2018 | 179 | 2018 |
Learning cross-lingual sentence representations via a multi-task dual-encoder model M Chidambaram, Y Yang, D Cer, S Yuan, YH Sung, B Strope, R Kurzweil arXiv preprint arXiv:1810.12836, 2018 | 162 | 2018 |
Conversational contextual cues: The case of personalization and history for response ranking R Al-Rfou, M Pickett, J Snaider, YH Sung, B Strope, R Kurzweil arXiv preprint arXiv:1606.00372, 2016 | 124 | 2016 |
Effective parallel corpus mining using bilingual sentence embeddings M Guo, Q Shen, Y Yang, H Ge, D Cer, GH Abrego, K Stevens, N Constant, ... arXiv preprint arXiv:1807.11906, 2018 | 119 | 2018 |
Improving multilingual sentence embedding using bi-directional dual encoder with additive margin softmax Y Yang, GH Abrego, S Yuan, M Guo, Q Shen, D Cer, YH Sung, B Strope, ... arXiv preprint arXiv:1902.08564, 2019 | 114 | 2019 |
Recognizing speech in multiple languages Y Sung, F Beaufays, B Strope, H Lin, JT Huang US Patent 9,129,591, 2015 | 73 | 2015 |
Hidden conditional random fields for phone recognition YH Sung, D Jurafsky 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 107-112, 2009 | 72 | 2009 |
Freshllms: Refreshing large language models with search engine augmentation T Vu, M Iyyer, X Wang, N Constant, J Wei, J Wei, C Tar, YH Sung, D Zhou, ... arXiv preprint arXiv:2310.03214, 2023 | 68 | 2023 |
Colt5: Faster long-range transformers with conditional computation J Ainslie, T Lei, M de Jong, S Ontañón, S Brahma, Y Zemlyanskiy, ... arXiv preprint arXiv:2303.09752, 2023 | 47 | 2023 |
Cooperatively training and/or using separate input and response neural network models for determining response (s) for electronic communications B Strope, Y Sung, M Henderson, R Al-Rfou, R Kurzweil US Patent 11,373,086, 2022 | 31 | 2022 |
Recognizing different versions of a language F Beaufays, B Strope, Y Sung US Patent 9,275,635, 2016 | 31 | 2016 |
Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification YH Sung, C Boulis, C Manning, D Jurafsky 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 31 | 2007 |
Written-domain language modeling with decomposition H Sak, Y Sung, CGL Allauzen US Patent 9,460,088, 2016 | 27 | 2016 |
Applying name entity recognition to informal text Y Chang, YH Sung Recall 1 (1), 2005 | 24 | 2005 |
Hierarchical document encoder for parallel corpus mining M Guo, Y Yang, K Stevens, D Cer, H Ge, Y Sung, B Strope, R Kurzweil arXiv preprint arXiv:1906.08401, 2019 | 22 | 2019 |