| ERNIE: Enhanced representation through knowledge integration Y Sun, S Wang, YK Li, S Feng, X Chen, H Zhang, X Tian, D Zhu, H Tian, ... arXiv preprint arXiv:1904.09223, 2019 | 1223 | 2019 |
| ERNIE 2.0: A continual pre-training framework for language understanding Y Sun, S Wang, YK Li, S Feng, H Tian, H Wu, H Wang arXiv preprint arXiv:1907.12412, 2019 | 953 | 2019 |
| DeepSeek-Coder: When the Large Language Model Meets Programming--The Rise of Code Intelligence D Guo, Q Zhu, D Yang, Z Xie, K Dong, W Zhang, G Chen, X Bi, Y Wu, ... arXiv preprint arXiv:2401.14196, 2024 | 471 | 2024 |
| Binary relevance for multi-label learning: an overview ML Zhang, YK Li, XY Liu, X Geng Frontiers of Computer Science 12, 191-202, 2018 | 468 | 2018 |
| Towards class-imbalance aware multi-label learning ML Zhang, YK Li, H Yang, XY Liu IEEE Transactions on Cybernetics 52 (6), 4459-4471, 2020 | 211 | 2020 |
| ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation D Xiao, H Zhang, YK Li, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2001.11314, 2020 | 153 | 2020 |
| DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models D Dai, C Deng, C Zhao, RX Xu, H Gao, D Chen, J Li, W Zeng, X Yu, Y Wu, ... arXiv preprint arXiv:2401.06066, 2024 | 149 | 2024 |
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| DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Q Zhu, D Guo, Z Shao, D Yang, P Wang, R Xu, Y Wu, Y Li, H Gao, S Ma, ... arXiv preprint arXiv:2406.11931, 2024 | 111 | 2024 |
| Leveraging implicit relative labeling-importance information for effective multi-label learning YK Li, ML Zhang, X Geng 2015 IEEE International Conference on Data Mining, 251-260, 2015 | 104 | 2015 |
| DeepSeek LLM: Scaling Open-Source Language Models with Longtermism X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong, Q Du, ... arXiv preprint arXiv:2401.02954, 2024 | 76 | 2024 |
| Leveraging implicit relative labeling-importance information for effective multi-label learning ML Zhang, QW Zhang, JP Fang, YK Li, X Geng IEEE Transactions on Knowledge and Data Engineering 33 (5), 2057-2070, 2019 | 59 | 2019 |
| 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 | 52 | 2020 |
| Deepseek-v3 technical report A Liu, B Feng, B Xue, B Wang, B Wu, C Lu, C Zhao, C Deng, C Zhang, ... arXiv preprint arXiv:2412.19437, 2024 | 47 | 2024 |
| X-MOL: large-scale pre-training for molecular understanding and diverse molecular analysis D Xue, H Zhang, D Xiao, Y Gong, G Chuai, Y Sun, H Tian, H Wu, YK Li, ... bioRxiv 2020.12.23.424259, 2021 | 46 | 2021 |
| Artificial intelligence based method and apparatus for generating information LI Yukun, Y Liu, Y Sun, YU Dianhai US Patent 10,528,667, 2020 | 22 | 2020 |
| Enhancing binary relevance for multi-label learning with controlled label correlations exploitation YK Li, ML Zhang Pacific Rim International Conference on Artificial Intelligence, 91-103, 2014 | 13 | 2014 |
| Deepseek-vl2: Mixture-of-experts vision-language models for advanced multimodal understanding Z Wu, X Chen, Z Pan, X Liu, W Liu, D Dai, H Gao, Y Ma, C Wu, B Wang, ... arXiv preprint arXiv:2412.10302, 2024 | 8 | 2024 |
| Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models. CoRR, abs/2401.06066, 2024. doi: 10.48550 D Dai, C Deng, C Zhao, RX Xu, H Gao, D Chen, J Li, W Zeng, X Yu, Y Wu, ... arXiv preprint ARXIV.2401.06066, 0 | 8 | |
| Search method and apparatus based on artificial intelligence LI Yukun, Y Liu, Y Sun, YU Dianhai US Patent 11,151,177, 2021 | 1 | 2021 |
tian haoBaidu ResearchE-mailová adresa ověřena na: baidu.com
