| 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 | 1013 | 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 | 787 | 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 | 345 | 2021 |
| 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 | 326 | 2021 |
| 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 | 264 | 2016 |
| 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 | 233 | 2020 |
| Ernie-gen: An enhanced multi-flow pre-training and fine-tuning framework for natural language generation D Xiao, H Zhang, Y Li, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2001.11314, 2020 | 130 | 2020 |
| BEVFormer v2: Adapting modern image backbones to bird's-eye-view recognition via perspective supervision C Yang, Y Chen, H Tian, C Tao, X Zhu, Z Zhang, G Huang, H Li, Y Qiao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 111 | 2023 |
| ERNIE-M: Enhanced multilingual representation by aligning cross-lingual semantics with monolingual corpora X Ouyang, S Wang, C Pang, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2012.15674, 2020 | 89 | 2020 |
| Ernie-vilg 2.0: Improving text-to-image diffusion model with knowledge-enhanced mixture-of-denoising-experts Z Feng, Z Zhang, X Yu, Y Fang, L Li, X Chen, Y Lu, J Liu, W Yin, S Feng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 72 | 2023 |
| Delving into the devils of bird's-eye-view perception: A review, evaluation and recipe H Li, C Sima, J Dai, W Wang, L Lu, H Wang, J Zeng, Z Li, J Yang, H Deng, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 66 | 2023 |
| Ernie 3.0 titan: Exploring larger-scale knowledge enhanced pre-training for language understanding and generation S Wang, Y Sun, Y Xiang, Z Wu, S Ding, W Gong, S Feng, J Shang, Y Zhao, ... arXiv preprint arXiv:2112.12731, 2021 | 55 | 2021 |
| Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, et al. Ghost in the minecraft: Generally capable agents for open-world enviroments via large language models … X Zhu, Y Chen, H Tian, C Tao arXiv preprint arXiv:2305.17144 2 (3), 5, 2023 | 53 | 2023 |
| ERNIE-Doc: A retrospective long-document modeling transformer S Ding, J Shang, S Wang, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2012.15688, 2020 | 52 | 2020 |
| Ernie-layout: Layout knowledge enhanced pre-training for visually-rich document understanding Q Peng, Y Pan, W Wang, B Luo, Z Zhang, Z Huang, T Hu, W Yin, Y Chen, ... arXiv preprint arXiv:2210.06155, 2022 | 45 | 2022 |
| Ernie-search: Bridging cross-encoder with dual-encoder via self on-the-fly distillation for dense passage retrieval Y Lu, Y Liu, J Liu, Y Shi, Z Huang, SFY Sun, H Tian, H Wu, S Wang, D Yin, ... arXiv preprint arXiv:2205.09153, 2022 | 44 | 2022 |
| Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 43 | 2020 |
| Policy learning for domain selection in an extensible multi-domain spoken dialogue system Z Wang, H Chen, G Wang, H Tian, H Wu, H Wang Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 43 | 2014 |
| Ernie-gram: Pre-training with explicitly n-gram masked language modeling for natural language understanding D Xiao, YK Li, H Zhang, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2010.12148, 2020 | 41 | 2020 |
| Investigating the factual knowledge boundary of large language models with retrieval augmentation R Ren, Y Wang, Y Qu, WX Zhao, J Liu, H Tian, H Wu, JR Wen, H Wang arXiv preprint arXiv:2307.11019, 2023 | 38 | 2023 |
