| Roberta: A robustly optimized bert pretraining approach Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ... arXiv preprint arXiv:1907.11692, 2019 | 15206* | 2019 |
| Supervised contrastive learning for pre-trained language model fine-tuning B Gunel, J Du, A Conneau, V Stoyanov arXiv preprint arXiv:2011.01403, 2020 | 243 | 2020 |
| Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model W Xiong, J Du, WY Wang, V Stoyanov arXiv preprint arXiv:1912.09637, 2019 | 169 | 2019 |
| Self-training improves pre-training for natural language understanding J Du, E Grave, B Gunel, V Chaudhary, O Celebi, M Auli, V Stoyanov, ... arXiv preprint arXiv:2010.02194, 2020 | 109 | 2020 |
| Box office prediction based on microblog J Du, H Xu, X Huang Expert Systems with Applications 41 (4), 1680-1689, 2014 | 107 | 2014 |
| Pretrained language models for biomedical and clinical tasks: understanding and extending the state-of-the-art P Lewis, M Ott, J Du, V Stoyanov Proceedings of the 3rd Clinical Natural Language Processing Workshop, 146-157, 2020 | 101 | 2020 |
| Larger-scale transformers for multilingual masked language modeling N Goyal, J Du, M Ott, G Anantharaman, A Conneau arXiv preprint arXiv:2105.00572, 2021 | 31 | 2021 |
| Answering complex open-domain questions with multi-hop dense retrieval W Xiong, XL Li, S Iyer, J Du, P Lewis, WY Wang, Y Mehdad, W Yih, ... arXiv preprint arXiv:2009.12756, 2020 | 29 | 2020 |
| Knowledge-augmented language model and its application to unsupervised named-entity recognition A Liu, J Du, V Stoyanov arXiv preprint arXiv:1904.04458, 2019 | 22 | 2019 |
| Few-shot learning with multilingual language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... arXiv preprint arXiv:2112.10668, 2021 | 18 | 2021 |
| Efficient large scale language modeling with mixtures of experts M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ... arXiv preprint arXiv:2112.10684, 2021 | 16 | 2021 |
| General purpose text embeddings from pre-trained language models for scalable inference J Du, M Ott, H Li, X Zhou, V Stoyanov arXiv preprint arXiv:2004.14287, 2020 | 8 | 2020 |
| Multi-objective optimization for overlapping community detection J Du, J Lai, C Shi Advanced Data Mining and Applications: 9th International Conference, ADMA …, 2013 | 6 | 2013 |
| Document Entity Linking on Online Social Networks X Yan, B Xue, J Shankar, RK Shenoy, J Du, MJ Dousti, VS Stoyanov US Patent App. 16/112,477, 2020 | 4 | 2020 |
| SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations PA Duquenne, H Gong, N Dong, J Du, A Lee, V Goswani, C Wang, J Pino, ... arXiv preprint arXiv:2211.04508, 2022 | 2 | 2022 |
| Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models M Xia, M Artetxe, J Du, D Chen, V Stoyanov arXiv preprint arXiv:2205.15223, 2022 | 1 | 2022 |
| On the Role of Bidirectionality in Language Model Pre-Training M Artetxe, J Du, N Goyal, L Zettlemoyer, V Stoyanov arXiv preprint arXiv:2205.11726, 2022 | 1 | 2022 |
| Perceptron-based tagging of query boundaries for Chinese query segmentation J Du, Y Song, CH Li Proceedings of the 23rd International Conference on World Wide Web, 257-258, 2014 | 1 | 2014 |
| Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality H Singh, P Zhang, Q Wang, M Wang, W Xiong, J Du, Y Chen arXiv preprint arXiv:2305.13812, 2023 | | 2023 |
| Few-shot Learning with Multilingual Generative Language Models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | | 2022 |
