| Prophetnet: Predicting future n-gram for sequence-to-sequence pre-training W Qi, Y Yan, Y Gong, D Liu, N Duan, J Chen, R Zhang, M Zhou arXiv preprint arXiv:2001.04063, 2020 | 503 | 2020 |
| 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 | 338 | 2020 |
| Hashtag recommendation using attention-based convolutional neural network. Y Gong, Q Zhang IJCAI 16, 2782-2788, 2016 | 295 | 2016 |
| Keyphrase extraction using deep recurrent neural networks on twitter Q Zhang, Y Wang, Y Gong, XJ Huang Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 270 | 2016 |
| Critic: Large language models can self-correct with tool-interactive critiquing Z Gou, Z Shao, Y Gong, Y Shen, Y Yang, N Duan, W Chen arXiv preprint arXiv:2305.11738, 2023 | 236 | 2023 |
| Query rewriting for retrieval-augmented large language models X Ma, Y Gong, P He, H Zhao, N Duan arXiv preprint arXiv:2305.14283, 2023 | 220 | 2023 |
| Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph J Sun, C Xu, L Tang, S Wang, C Lin, Y Gong, HY Shum, J Guo arXiv preprint arXiv:2307.07697, 2023 | 197 | 2023 |
| Cmmlu: Measuring massive multitask language understanding in chinese H Li, Y Zhang, F Koto, Y Yang, H Zhao, Y Gong, N Duan, T Baldwin arXiv preprint arXiv:2306.09212, 2023 | 178 | 2023 |
| Annollm: Making large language models to be better crowdsourced annotators X He, Z Lin, Y Gong, A Jin, H Zhang, C Lin, J Jiao, SM Yiu, N Duan, ... arXiv preprint arXiv:2303.16854, 2023 | 171 | 2023 |
| Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen arXiv preprint arXiv:2305.15294, 2023 | 170 | 2023 |
| Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. Q Zhang, J Wang, H Huang, X Huang, Y Gong IJCAI, 3420-3426, 2017 | 154 | 2017 |
| Retweet prediction with attention-based deep neural network Q Zhang, Y Gong, J Wu, H Huang, X Huang Proceedings of the 25th ACM international on conference on information and …, 2016 | 142 | 2016 |
| Tora: A tool-integrated reasoning agent for mathematical problem solving Z Gou, Z Shao, Y Gong, Y Shen, Y Yang, M Huang, N Duan, W Chen arXiv preprint arXiv:2309.17452, 2023 | 137 | 2023 |
| Joint type inference on entities and relations via graph convolutional networks C Sun, Y Gong, Y Wu, M Gong, D Jiang, M Lan, S Sun, N Duan Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 123 | 2019 |
| Adversarial retriever-ranker for dense text retrieval H Zhang, Y Gong, Y Shen, J Lv, N Duan, W Chen arXiv preprint arXiv:2110.03611, 2021 | 119 | 2021 |
| Synthetic prompting: Generating chain-of-thought demonstrations for large language models Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen International Conference on Machine Learning, 30706-30775, 2023 | 99 | 2023 |
| Poolingformer: Long document modeling with pooling attention H Zhang, Y Gong, Y Shen, W Li, J Lv, N Duan, W Chen International Conference on Machine Learning, 12437-12446, 2021 | 89 | 2021 |
| Mask attention networks: Rethinking and strengthen transformer Z Fan, Y Gong, D Liu, Z Wei, S Wang, J Jiao, N Duan, R Zhang, X Huang arXiv preprint arXiv:2103.13597, 2021 | 75 | 2021 |
| 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 | 74 | 2020 |
| Retweet behavior prediction using hierarchical dirichlet process Q Zhang, Y Gong, Y Guo, X Huang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 73 | 2015 |
Nan DuanTech Fellow, StepFun | Senior Principal Researcher, Microsoft Research (2012-2024)Verifierad e-postadress på microsoft.com
