| CLUE: A Chinese language understanding evaluation benchmark L Xu, H Hu, X Zhang, L Li, C Cao, Y Li, Y Xu, K Sun, D Yu, C Yu, Y Tian, ... arXiv preprint arXiv:2004.05986, 2020 | 370 | 2020 |
| CLUENER2020: Fine-grained named entity recognition dataset and benchmark for Chinese L Xu, Q Dong, Y Liao, C Yu, Y Tian, W Liu, L Li, C Liu, X Zhang arXiv preprint arXiv:2001.04351, 2020 | 108 | 2020 |
| CLUECorpus2020: A large-scale Chinese corpus for pre-training language model L Xu, X Zhang, Q Dong arXiv preprint arXiv:2003.01355, 2020 | 91 | 2020 |
| Listen, understand and translate: Triple supervision decouples end-to-end speech-to-text translation Q Dong, R Ye, M Wang, H Zhou, S Xu, B Xu, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12749 …, 2021 | 63 | 2021 |
| M3ST: Mix at Three Levels for Speech Translation X Cheng, Q Dong, F Yue, T Ko, M Wang, Y Zou ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 54 | 2023 |
| Findings of the IWSLT 2023 evaluation campaign M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ... Association for Computational Linguistics, 2023 | 52 | 2023 |
| Semi-supervised disfluency detection F Wang, W Chen, Z Yang, Q Dong, S Xu, B Xu Proceedings of the 27th International Conference on Computational …, 2018 | 52 | 2018 |
| Adapting translation models for transcript disfluency detection Q Dong, F Wang, Z Yang, W Chen, S Xu, B Xu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6351-6358, 2019 | 50 | 2019 |
| Consecutive decoding for speech-to-text translation Q Dong, M Wang, H Zhou, S Xu, B Xu, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12738 …, 2021 | 44 | 2021 |
| NeurST: Neural speech translation toolkit C Zhao, M Wang, Q Dong, R Ye, L Li arXiv preprint arXiv:2012.10018, 2020 | 35 | 2020 |
| Polyvoice: Language models for speech to speech translation Q Dong, Z Huang, Q Tian, C Xu, T Ko, Y Zhao, S Feng, T Li, K Wang, ... arXiv preprint arXiv:2306.02982, 2023 | 24 | 2023 |
| Learning when to translate for streaming speech Q Dong, Y Zhu, M Wang, L Li arXiv preprint arXiv:2109.07368, 2021 | 24 | 2021 |
| Recent advances in direct speech-to-text translation C Xu, R Ye, Q Dong, C Zhao, T Ko, M Wang, T Xiao, J Zhu arXiv preprint arXiv:2306.11646, 2023 | 23 | 2023 |
| Leveraging pseudo-labeled data to improve direct speech-to-speech translation Q Dong, F Yue, T Ko, M Wang, Q Bai, Y Zhang arXiv preprint arXiv:2205.08993, 2022 | 20 | 2022 |
| Seed-asr: Understanding diverse speech and contexts with llm-based speech recognition Y Bai, J Chen, J Chen, W Chen, Z Chen, C Ding, L Dong, Q Dong, Y Du, ... arXiv preprint arXiv:2407.04675, 2024 | 15 | 2024 |
| Speech translation with large language models: An industrial practice Z Huang, R Ye, T Ko, Q Dong, S Cheng, M Wang, H Li arXiv preprint arXiv:2312.13585, 2023 | 12 | 2023 |
| CTC-based non-autoregressive speech translation C Xu, X Liu, X Liu, Q Sun, Y Zhang, M Yang, Q Dong, T Ko, M Wang, ... arXiv preprint arXiv:2305.17358, 2023 | 7 | 2023 |
| MOSPC: MOS prediction based on pairwise comparison K Wang, Y Zhao, Q Dong, T Ko, M Wang arXiv preprint arXiv:2306.10493, 2023 | 4 | 2023 |
| The volctrans neural speech translation system for iwslt 2021 C Zhao, Z Liu, J Tong, T Wang, M Wang, R Ye, Q Dong, J Cao, L Li arXiv preprint arXiv:2105.07319, 2021 | 4 | 2021 |
| Findings of the IWSLT 2024 Evaluation Campaign IS Ahmad, A Anastasopoulos, O Bojar, C Borg, M Carpuat, R Cattoni, ... arXiv preprint arXiv:2411.05088, 2024 | 3 | 2024 |