| Unified Language Model Pre-training for Natural Language Understanding and Generation L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon arXiv preprint arXiv:1905.03197, 2019 | 1901 | 2019 |
| Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. D Tang, F Wei, N Yang, M Zhou, T Liu, B Qin ACL (1), 1555-1565, 2014 | 1645 | 2014 |
| Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers W Wang, F Wei, L Dong, H Bao, N Yang, M Zhou arXiv preprint arXiv:2002.10957, 2020 | 1318 | 2020 |
| Gated self-matching networks for reading comprehension and question answering W Wang, N Yang, F Wei, B Chang, M Zhou Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 852 | 2017 |
| Neural Document Summarization by Jointly Learning to Score and Select Sentences Q Zhou, N Yang, F Wei, S Huang, M Zhou, T Zhao arXiv preprint arXiv:1807.02305, 2018 | 466 | 2018 |
| Text Embeddings by Weakly-Supervised Contrastive Pre-training L Wang, N Yang, X Huang, B Jiao, L Yang, D Jiang, R Majumder, F Wei arXiv preprint arXiv:2212.03533, 2022 | 462 | 2022 |
| Unilmv2: Pseudo-masked language models for unified language model pre-training H Bao, L Dong, F Wei, W Wang, N Yang, X Liu, Y Wang, S Piao, J Gao, ... arXiv preprint arXiv:2002.12804, 2020 | 447 | 2020 |
| Neural Question Generation from Text: A Preliminary Study Q Zhou, N Yang, F Wei, C Tan, H Bao, M Zhou arXiv preprint arXiv:1704.01792, 2017 | 420 | 2017 |
| Sentiment Embeddings with Applications to Sentiment Analysis D Tang, F Wei, B Qin, N Yang, T Liu, M Zhou IEEE Transactions on Knowledge and Data Engineering 28 (2), 496-509, 2016 | 385 | 2016 |
| InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training Z Chi, L Dong, F Wei, N Yang, S Singhal, W Wang, X Song, XL Mao, ... arXiv preprint arXiv:2007.07834, 2020 | 363 | 2020 |
| Selective Encoding for Abstractive Sentence Summarization Q Zhou, N Yang, F Wei, M Zhou arXiv preprint arXiv:1704.07073, 2017 | 348 | 2017 |
| Improving text embeddings with large language models L Wang, N Yang, X Huang, L Yang, R Majumder, F Wei arXiv preprint arXiv:2401.00368, 2023 | 298 | 2023 |
| Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation Y Sun, L Lin, D Tang, N Yang, Z Ji, X Wang IJCAI 2015, 0 | 268* | |
| A Recursive Recurrent Neural Network for Statistical Machine Translation. S Liu, N Yang, M Li, M Zhou ACL (1), 1491-1500, 2014 | 248 | 2014 |
| Query2doc: Query Expansion with Large Language Models L Wang, N Yang, F Wei arXiv preprint arXiv:2303.07678, 2023 | 223 | 2023 |
| Read+ Verify: Machine Reading Comprehension with Unanswerable Questions M Hu, Y Peng, Z Huang, N Yang, M Zhou arXiv preprint arXiv:1808.05759, 2018 | 191 | 2018 |
| Multilingual e5 text embeddings: A technical report L Wang, N Yang, X Huang, L Yang, R Majumder, F Wei arXiv preprint arXiv:2402.05672, 2024 | 176 | 2024 |
| Fine-tuning llama for multi-stage text retrieval X Ma, L Wang, N Yang, F Wei, J Lin Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 162 | 2024 |
| Radical-enhanced chinese character embedding Y Sun, L Lin, N Yang, Z Ji, X Wang International Conference on Neural Information Processing, 279-286, 2014 | 152 | 2014 |
| Sequence-to-Dependency Neural Machine Translation S Wu, D Zhang, N Yang, M Li, M Zhou Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 112 | 2017 |
Furu WeiDistinguished Scientist, Microsoft ResearchEmail được xác minh tại microsoft.com