| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 1512 | 2023 |
| Qwen-vl: A frontier large vision-language model with versatile abilities J Bai, S Bai, S Yang, S Wang, S Tan, P Wang, J Lin, C Zhou, J Zhou arXiv preprint arXiv:2308.12966, 2023 | 1247* | 2023 |
| OFA: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework P Wang, A Yang, R Men, J Lin, S Bai, Z Li, J Ma, C Zhou, J Zhou, H Yang ICML 2022, 2022 | 1079 | 2022 |
| Cogview: Mastering text-to-image generation via transformers M Ding, Z Yang, W Hong, W Zheng, C Zhou, D Yin, J Lin, X Zou, Z Shao, ... Advances in neural information processing systems 34, 19822-19835, 2021 | 748 | 2021 |
| Qwen2 technical report A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2407.10671, 2024 | 529 | 2024 |
| Understanding and improving layer normalization J Xu, X Sun, Z Zhang, G Zhao, J Lin Advances in neural information processing systems 32, 2019 | 393 | 2019 |
| Towards knowledge-based recommender dialog system Q Chen, J Lin, Y Zhang, M Ding, Y Cen, H Yang, J Tang arXiv preprint arXiv:1908.05391, 2019 | 268 | 2019 |
| Diversity-promoting GAN: A cross-entropy based generative adversarial network for diversified text generation J Xu, X Ren, J Lin, X Sun Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 255* | 2018 |
| Global Encoding for Abstractive Summarization J Lin, X Sun, S Ma, Q Su Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 195 | 2018 |
| M6: A chinese multimodal pretrainer J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ... arXiv preprint arXiv:2103.00823, 2021 | 178* | 2021 |
| Explicit sparse transformer: Concentrated attention through explicit selection G Zhao, J Lin, Z Zhang, X Ren, Q Su, X Sun arXiv preprint arXiv:1912.11637, 2019 | 137 | 2019 |
| Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese A Yang*, J Pan*, J Lin*, R Men, Y Zhang, J Zhou, C Zhou arXiv preprint arXiv:2211.01335, 2022 | 115 | 2022 |
| Qwen2-vl: Enhancing vision-language model's perception of the world at any resolution P Wang, S Bai, S Tan, S Wang, Z Fan, J Bai, K Chen, X Liu, J Wang, W Ge, ... arXiv preprint arXiv:2409.12191, 2024 | 107 | 2024 |
| One-peace: Exploring one general representation model toward unlimited modalities P Wang, S Wang, J Lin, S Bai, X Zhou, J Zhou, X Wang, C Zhou arXiv preprint arXiv:2305.11172, 2023 | 106 | 2023 |
| Imitation learning for non-autoregressive neural machine translation B Wei, M Wang, H Zhou, J Lin, J Xie, X Sun arXiv preprint arXiv:1906.02041, 2019 | 100 | 2019 |
| Towards knowledge-based personalized product description generation in e-commerce Q Chen, J Lin, Y Zhang, H Yang, J Zhou, J Tang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 98 | 2019 |
| Expertprompting: Instructing large language models to be distinguished experts B Xu, A Yang, J Lin, Q Wang, C Zhou, Y Zhang, Z Mao arXiv preprint arXiv:2305.14688, 2023 | 97 | 2023 |
| Interbert: Vision-and-language interaction for multi-modal pretraining J Lin, A Yang, Y Zhang, J Liu, J Zhou, H Yang arXiv preprint arXiv:2003.13198, 2020 | 95 | 2020 |
| Modality competition: What makes joint training of multi-modal network fail in deep learning?(provably) Y Huang, J Lin, C Zhou, H Yang, L Huang International conference on machine learning, 9226-9259, 2022 | 90 | 2022 |
| A deep reinforced sequence-to-set model for multi-label classification P Yang, F Luo, S Ma, J Lin, X Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 87* | 2019 |
Chang ZhouPeking University (zhouchang@pku.edu.cn)在 pku.edu.cn 的电子邮件经过验证
