| Codebert: A pre-trained model for programming and natural languages Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... arXiv preprint arXiv:2002.08155, 2020 | 2912 | 2020 |
| Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 891 | 2021 |
| XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation Y Liang, N Duan, Y Gong, N Wu, F Guo, W Qi, M Gong, L Shou, D Jiang, ... arXiv preprint arXiv:2004.01401, 2020 | 336 | 2020 |
| Unicoder: A universal language encoder by pre-training with multiple cross-lingual tasks H Huang, Y Liang, N Duan, M Gong, L Shou, D Jiang, M Zhou arXiv preprint arXiv:1909.00964, 2019 | 236 | 2019 |
| Graph-based reasoning over heterogeneous external knowledge for commonsense question answering S Lv, D Guo, J Xu, D Tang, N Duan, M Gong, L Shou, D Jiang, G Cao, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 8449-8456, 2020 | 224 | 2020 |
| Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis Y Liang, C Wu, T Song, W Wu, Y Xia, Y Liu, Y Ou, S Lu, L Ji, S Mao, ... Intelligent Computing 3, 0063, 2024 | 178 | 2024 |
| Reinforced multi-teacher selection for knowledge distillation F Yuan, L Shou, J Pei, W Lin, M Gong, Y Fu, D Jiang Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14284 …, 2021 | 132 | 2021 |
| WhiteningBERT: An easy unsupervised sentence embedding approach J Huang, D Tang, W Zhong, S Lu, L Shou, M Gong, D Jiang, N Duan arXiv preprint arXiv:2104.01767, 2021 | 109 | 2021 |
| Model compression with two-stage multi-teacher knowledge distillation for web question answering system Z Yang, L Shou, M Gong, W Lin, D Jiang Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 109 | 2020 |
| Cosqa: 20,000+ web queries for code search and question answering J Huang, D Tang, L Shou, M Gong, K Xu, D Jiang, M Zhou, N Duan arXiv preprint arXiv:2105.13239, 2021 | 99 | 2021 |
| CodeBERT: a pre-trained model for programming and natural languages (2020) Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... arXiv preprint arXiv:2002.08155, 2002 | 84 | 2002 |
| Bridging the gap between indexing and retrieval for differentiable search index with query generation S Zhuang, H Ren, L Shou, J Pei, M Gong, G Zuccon, D Jiang arXiv preprint arXiv:2206.10128, 2022 | 76 | 2022 |
| GLGE: A new general language generation evaluation benchmark D Liu, Y Yan, Y Gong, W Qi, H Zhang, J Jiao, W Chen, J Fu, L Shou, ... arXiv preprint arXiv:2011.11928, 2020 | 73 | 2020 |
| Improving readability for automatic speech recognition transcription J Liao, S Eskimez, L Lu, Y Shi, M Gong, L Shou, H Qu, M Zeng ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023 | 70 | 2023 |
| Graph fusion network for text classification Y Dai, L Shou, M Gong, X Xia, Z Kang, Z Xu, D Jiang Knowledge-based systems 236, 107659, 2022 | 62 | 2022 |
| LogicalFactChecker: Leveraging logical operations for fact checking with graph module network W Zhong, D Tang, Z Feng, N Duan, M Zhou, M Gong, L Shou, D Jiang, ... arXiv preprint arXiv:2004.13659, 2020 | 61 | 2020 |
| Large language models are diverse role-players for summarization evaluation N Wu, M Gong, L Shou, S Liang, D Jiang CCF International Conference on Natural Language Processing and Chinese …, 2023 | 59 | 2023 |
| Syntax-enhanced pre-trained model Z Xu, D Guo, D Tang, Q Su, L Shou, M Gong, W Zhong, X Quan, N Duan, ... arXiv preprint arXiv:2012.14116, 2020 | 48 | 2020 |
| Negative sampling for contrastive representation learning: A review L Xu, J Lian, WX Zhao, M Gong, L Shou, D Jiang, X Xie, JR Wen arXiv preprint arXiv:2206.00212, 2022 | 46 | 2022 |
| Retrieval enhanced model for commonsense generation H Wang, Y Liu, C Zhu, L Shou, M Gong, Y Xu, M Zeng arXiv preprint arXiv:2105.11174, 2021 | 40 | 2021 |
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