| Diffuseq: Sequence to sequence text generation with diffusion models S Gong, M Li, J Feng, Z Wu, LP Kong ICLR 2023, 2022 | 266 | 2022 |
| Zerogen: Efficient zero-shot learning via dataset generation J Ye, J Gao, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong EMNLP 2022, 2022 | 151 | 2022 |
| Pre-training multilingual neural machine translation by leveraging alignment information Z Lin, X Pan, M Wang, X Qiu, J Feng, H Zhou, L Li EMNLP 2020, 2020 | 130 | 2020 |
| Compositional exemplars for in-context learning J Ye, Z Wu, J Feng, T Yu, L Kong International Conference on Machine Learning, 39818-39833, 2023 | 91 | 2023 |
| Counter-interference adapter for multilingual machine translation Y Zhu, J Feng, C Zhao, M Wang, L Li Findings of EMNLP 2021, 2021 | 53 | 2021 |
| ProGen: Progressive zero-shot dataset generation via in-context feedback J Ye, J Gao, J Feng, Z Wu, T Yu, L Kong Findings of EMNLP 2022, 2022 | 50 | 2022 |
| Cont: Contrastive neural text generation C An, J Feng, K Lv, L Kong, X Qiu, X Huang Advances in Neural Information Processing Systems 35, 2197-2210, 2022 | 41 | 2022 |
| Openicl: An open-source framework for in-context learning Z Wu, YX Wang, J Ye, J Feng, J Xu, Y Qiao, Z Wu ACL 2023 Demo, 2023 | 35 | 2023 |
| Learning logic rules for document-level relation extraction D Ru, C Sun, J Feng, L Qiu, H Zhou, W Zhang, Y Yu, L Li EMNLP 2021, 2021 | 34 | 2021 |
| Non-autoregressive transformer by position learning Y Bao, H Zhou, J Feng, M Wang, S Huang, J Chen, L Li arXiv preprint arXiv:1911.10677, 2019 | 30 | 2019 |
| Learning context-specific word/character embeddings X Zheng, J Feng, Y Chen, H Peng, W Zhang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 27 | 2017 |
| Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space D Ru, J Feng, L Qiu, H Zhou, M Wang, W Zhang, Y Yu, L Li Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 24 | 2020 |
| Cross-lingual vision-language navigation A Yan, XE Wang, J Feng, L Li, WY Wang arXiv preprint arXiv:1910.11301, 2019 | 19 | 2019 |
| In-context learning with many demonstration examples M Li, S Gong, J Feng, Y Xu, J Zhang, Z Wu, L Kong arXiv preprint arXiv:2302.04931, 2023 | 16 | 2023 |
| The volctrans glat system: Non-autoregressive translation meets wmt21 L Qian, Y Zhou, Z Zheng, Y Zhu, Z Lin, J Feng, S Cheng, L Li, M Wang, ... WMT 2021, 2021 | 16 | 2021 |
| DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models S Gong, M Li, J Feng, Z Wu, L Kong Findings of EMNLP 2023, 2023 | 12 | 2023 |
| Serial or parallel? plug-able adapter for multilingual machine translation Y Zhu, J Feng, C Zhao, M Wang, L Li arXiv preprint arXiv:2104.08154 6 (3), 2021 | 10 | 2021 |
| Cab: comprehensive attention benchmarking on long sequence modeling J Zhang, S Jiang, J Feng, L Zheng, L Kong International Conference on Machine Learning, 41194-41218, 2023 | 5 | 2023 |
| RNN-based sequence-preserved attention for dependency parsing Y Zhou, J Zhou, L Liu, J Feng, H Peng, X Zheng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 5 | 2018 |
| Neural phrase-to-phrase machine translation J Feng, L Kong, PS Huang, C Wang, D Huang, J Mao, K Qiao, D Zhou arXiv preprint arXiv:1811.02172, 2018 | 4 | 2018 |
Lingpeng KongGoogle DeepMind, The University of Hong KongVerified email at cs.hku.hk