| 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 | 484 | 2024 |
| 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 | 220 | 2024 |
| A dual reinforcement learning framework for unsupervised text style transfer F Luo, P Li, J Zhou, P Yang, B Chang, Z Sui, X Sun arXiv preprint arXiv:1905.10060, 2019 | 192 | 2019 |
| Raise a child in large language model: Towards effective and generalizable fine-tuning R Xu, F Luo, Z Zhang, C Tan, B Chang, S Huang, F Huang arXiv preprint arXiv:2109.05687, 2021 | 186 | 2021 |
| 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 | 169 | 2024 |
| Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning D Guo, D Yang, H Zhang, J Song, R Zhang, R Xu, Q Zhu, S Ma, P Wang, ... arXiv preprint arXiv:2501.12948, 2025 | 148 | 2025 |
| 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 | 133 | 2024 |
| Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model A Liu, B Feng, B Wang, B Wang, B Liu, C Zhao, C Dengr, C Ruan, D Dai, ... arXiv preprint arXiv:2405.04434, 2024 | 127 | 2024 |
| 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 | 122 | 2024 |
| Incorporating glosses into neural word sense disambiguation F Luo, T Liu, Q Xia, B Chang, Z Sui arXiv preprint arXiv:1805.08028, 2018 | 119 | 2018 |
| Enhancing topic-to-essay generation with external commonsense knowledge P Yang, L Li, F Luo, T Liu, X Sun Proceedings of the 57th annual meeting of the association for computational …, 2019 | 99 | 2019 |
| Leveraging gloss knowledge in neural word sense disambiguation by hierarchical co-attention F Luo, T Liu, Z He, Q Xia, Z Sui, B Chang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 78 | 2018 |
| 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 | 77 | 2019 |
| Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. P Yang, F Luo, P Chen, L Li, Z Yin, X He, X Sun IJCAI 3 (6), 7, 2019 | 74 | 2019 |
| VECO: Variable and flexible cross-lingual pre-training for language understanding and generation F Luo, W Wang, J Liu, Y Liu, B Bi, S Huang, F Huang, L Si arXiv preprint arXiv:2010.16046, 2020 | 68* | 2020 |
| A hierarchical reinforced sequence operation method for unsupervised text style transfer C Wu, X Ren, F Luo, X Sun arXiv preprint arXiv:1906.01833, 2019 | 67 | 2019 |
| Learning to control the fine-grained sentiment for story ending generation F Luo, D Dai, P Yang, T Liu, B Chang, Z Sui, X Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 64 | 2019 |
| Hierarchical encoder with auxiliary supervision for neural table-to-text generation: Learning better representation for tables T Liu, F Luo, Q Xia, S Ma, B Chang, Z Sui Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6786-6793, 2019 | 52 | 2019 |
| Towards fine-grained text sentiment transfer F Luo, P Li, P Yang, J Zhou, Y Tan, B Chang, Z Sui, X Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 52 | 2019 |
| Deepseek-coder: When the large language model meets programming–the rise of code intelligence, 2024 D Guo, Q Zhu, D Yang, Z Xie, K Dong, W Zhang, G Chen, X Bi, Y Wu, ... URL https://arxiv. org/abs/2401.14196 5, 19, 2024 | 46 | 2024 |
Baobao CHANGPeking UniversityPotvrđena adresa e-pošte na pku.edu.cn