Ernie: Enhanced representation through knowledge integration Y Sun, S Wang, Y Li, S Feng, X Chen, H Zhang, X Tian, D Zhu, H Tian, ... arXiv preprint arXiv:1904.09223, 2019 | 1104 | 2019 |
Ernie 2.0: A continual pre-training framework for language understanding Y Sun, S Wang, Y Li, S Feng, H Tian, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 34 (05), 8968-8975, 2020 | 868 | 2020 |
Multi-task learning for multiple language translation D Dong, H Wu, W He, D Yu, H Wang Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 699 | 2015 |
RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering Y Qu, Y Ding, J Liu, K Liu, R Ren, WX Zhao, D Dong, H Wu, H Wang arXiv preprint arXiv:2010.08191, 2020 | 530 | 2020 |
Minimum risk training for neural machine translation S Shen, Y Cheng, Z He, W He, H Wu, M Sun, Y Liu arXiv preprint arXiv:1512.02433, 2015 | 506 | 2015 |
An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge Y Hao, Y Zhang, K Liu, S He, Z Liu, H Wu, J Zhao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 425 | 2017 |
Ernie 3.0: Large-scale knowledge enhanced pre-training for language understanding and generation Y Sun, S Wang, S Feng, S Ding, C Pang, J Shang, J Liu, X Chen, Y Zhao, ... arXiv preprint arXiv:2107.02137, 2021 | 407 | 2021 |
Learning to respond with deep neural networks for retrieval-based human-computer conversation system R Yan, Y Song, H Wu Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 397 | 2016 |
Multi-turn response selection for chatbots with deep attention matching network X Zhou, L Li, D Dong, Y Liu, Y Chen, WX Zhao, D Yu, H Wu Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 394 | 2018 |
Unimo: Towards unified-modal understanding and generation via cross-modal contrastive learning W Li, C Gao, G Niu, X Xiao, H Liu, J Liu, H Wu, H Wang arXiv preprint arXiv:2012.15409, 2020 | 376 | 2020 |
Ernie-vil: Knowledge enhanced vision-language representations through scene graphs F Yu, J Tang, W Yin, Y Sun, H Tian, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 35 (4), 3208-3216, 2021 | 375 | 2021 |
Unified structure generation for universal information extraction Y Lu, Q Liu, D Dai, X Xiao, H Lin, X Han, L Sun, H Wu arXiv preprint arXiv:2203.12277, 2022 | 346 | 2022 |
Geometry-enhanced molecular representation learning for property prediction X Fang, L Liu, J Lei, D He, S Zhang, J Zhou, F Wang, H Wu, H Wang Nature Machine Intelligence 4 (2), 127-134, 2022 | 328 | 2022 |
Semi-supervised learning for neural machine translation Y Cheng, Y Cheng Joint training for neural machine translation, 25-40, 2019 | 319 | 2019 |
Dureader: a chinese machine reading comprehension dataset from real-world applications W He, K Liu, J Liu, Y Lyu, S Zhao, X Xiao, Y Liu, Y Wang, H Wu, Q She, ... arXiv preprint arXiv:1711.05073, 2017 | 308 | 2017 |
Multi-view response selection for human-computer conversation X Zhou, D Dong, H Wu, S Zhao, D Yu, H Tian, X Liu, R Yan Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 273 | 2016 |
Pivot language approach for phrase-based statistical machine translation H Wu, H Wang Machine Translation 21, 165-181, 2007 | 267 | 2007 |
PLATO: Pre-trained dialogue generation model with discrete latent variable S Bao, H He, F Wang, H Wu, H Wang arXiv preprint arXiv:1910.07931, 2019 | 263 | 2019 |
SKEP: Sentiment knowledge enhanced pre-training for sentiment analysis H Tian, C Gao, X Xiao, H Liu, B He, H Wu, H Wang, F Wu arXiv preprint arXiv:2005.05635, 2020 | 259 | 2020 |
STACL: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework M Ma, L Huang, H Xiong, R Zheng, K Liu, B Zheng, C Zhang, Z He, H Liu, ... arXiv preprint arXiv:1810.08398, 2018 | 247 | 2018 |