| Entity-relation extraction as multi-turn question answering X Li, F Yin, Z Sun, X Li, A Yuan, D Chai, M Zhou, J Li arXiv preprint arXiv:1905.05529, 2019 | 440 | 2019 |
| Chinesebert: Chinese pretraining enhanced by glyph and pinyin information Z Sun, X Li, X Sun, Y Meng, X Ao, Q He, F Wu, J Li arXiv preprint arXiv:2106.16038, 2021 | 182 | 2021 |
| Icorating: A deep-learning system for scam ico identification S Bian, Z Deng, F Li, W Monroe, P Shi, Z Sun, W Wu, S Wang, WY Wang, ... arXiv preprint arXiv:1803.03670, 2018 | 58 | 2018 |
| Self-explaining structures improve nlp models Z Sun, C Fan, Q Han, X Sun, Y Meng, F Wu, J Li arXiv preprint arXiv:2012.01786, 2020 | 47 | 2020 |
| Neural semi-supervised learning for text classification under large-scale pretraining Z Sun, C Fan, X Sun, Y Meng, F Wu, J Li arXiv preprint arXiv:2011.08626, 2020 | 20 | 2020 |
| Summarize, outline, and elaborate: Long-text generation via hierarchical supervision from extractive summaries X Sun, Z Sun, Y Meng, J Li, C Fan arXiv preprint arXiv:2010.07074, 2020 | 16 | 2020 |
| Pair the dots: Jointly examining training history and test stimuli for model interpretability Y Meng, C Fan, Z Sun, E Hovy, F Wu, J Li arXiv preprint arXiv:2010.06943, 2020 | 11 | 2020 |
| Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships Y Wang, Z Sun, Q He, J Li, M Ni, M Yang Patterns 4 (1), 2023 | 6 | 2023 |
| Large-scale pretraining for neural machine translation with tens of billions of sentence pairs Y Meng, X Ren, Z Sun, X Li, A Yuan, F Wu, J Li arXiv preprint arXiv:1909.11861, 2019 | 5 | 2019 |
| Query-Based Named Entity Recognition Y Meng, X Li, Z Sun, J Li arXiv preprint arXiv:1908.09138, 2019 | 2 | 2019 |
| LOP-OCR: A Language-Oriented Pipeline for Large-chunk Text OCR Z Sun, G Zhang, J Lu, J Li, S AI | | |
Jiwei LiShannon.AI, Zhejiang University, Stanford UniversityVerified email at stanford.edu
