| 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 | 1471 | 2020 |
| Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 665* | 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 | 587* | 2021 |
| Unixcoder: Unified cross-modal pre-training for code representation D Guo, S Lu, N Duan, Y Wang, M Zhou, J Yin arXiv preprint arXiv:2203.03850, 2022 | 206 | 2022 |
| 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 | 176 | 2020 |
| Codebleu: a method for automatic evaluation of code synthesis S Ren, D Guo, S Lu, L Zhou, S Liu, D Tang, N Sundaresan, M Zhou, ... arXiv preprint arXiv:2009.10297, 2020 | 172 | 2020 |
| Dialog-to-action: Conversational question answering over a large-scale knowledge base D Guo, D Tang, N Duan, M Zhou, J Yin Advances in Neural Information Processing Systems 31, 2018 | 122 | 2018 |
| Baize: An open-source chat model with parameter-efficient tuning on self-chat data C Xu, D Guo, N Duan, J McAuley arXiv preprint arXiv:2304.01196, 2023 | 86 | 2023 |
| Multi-task learning for conversational question answering over a large-scale knowledge base T Shen, X Geng, T Qin, D Guo, D Tang, N Duan, G Long, D Jiang arXiv preprint arXiv:1910.05069, 2019 | 86 | 2019 |
| Coupling retrieval and meta-learning for context-dependent semantic parsing D Guo, D Tang, N Duan, M Zhou, J Yin arXiv preprint arXiv:1906.07108, 2019 | 52 | 2019 |
| Question generation from sql queries improves neural semantic parsing D Guo, Y Sun, D Tang, N Duan, J Yin, H Chi, J Cao, P Chen, M Zhou arXiv preprint arXiv:1808.06304, 2018 | 52 | 2018 |
| Automating code review activities by large-scale pre-training Z Li, S Lu, D Guo, N Duan, S Jannu, G Jenks, D Majumder, J Green, ... Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 51* | 2022 |
| 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 | 41 | 2020 |
| Reacc: A retrieval-augmented code completion framework S Lu, N Duan, H Han, D Guo, S Hwang, A Svyatkovskiy arXiv preprint arXiv:2203.07722, 2022 | 40 | 2022 |
| Learning to complete code with sketches D Guo, A Svyatkovskiy, J Yin, N Duan, M Brockschmidt, M Allamanis arXiv preprint arXiv:2106.10158, 2021 | 37 | 2021 |
| Laprador: Unsupervised pretrained dense retriever for zero-shot text retrieval C Xu, D Guo, N Duan, J McAuley arXiv preprint arXiv:2203.06169, 2022 | 32 | 2022 |
| Ar-lsat: Investigating analytical reasoning of text W Zhong, S Wang, D Tang, Z Xu, D Guo, J Wang, J Yin, M Zhou, N Duan arXiv preprint arXiv:2104.06598, 2021 | 14* | 2021 |
| Multi-modal representation learning for short video understanding and recommendation D Guo, J Hong, B Luo, Q Yan, Z Niu 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 11 | 2019 |
| Pre-training text representations as meta learning S Lv, Y Wang, D Guo, D Tang, N Duan, F Zhu, M Gong, L Shou, R Ma, ... arXiv preprint arXiv:2004.05568, 2020 | 8 | 2020 |
| Evidence-aware inferential text generation with vector quantised variational autoencoder D Guo, D Tang, N Duan, J Yin, D Jiang, M Zhou arXiv preprint arXiv:2006.08101, 2020 | 7 | 2020 |
Nan DuanSenior Principal Research Manager, Microsoft ResearchE-mail megerősítve itt: microsoft.com
