| DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning D Guo, D Yang, H Zhang, J Song, P Wang, Q Zhu, R Xu, R Zhang, S Ma, ... Nature 645 (8081), 633-638, 2025 | 7683* | 2025 |
| DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Z Shao, P Wang, Q Zhu, R Xu, J Song, M Zhang, YK Li, Y Wu, D Guo arXiv preprint arXiv:2402.03300, 2024 | 3958* | 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 | 3408 | 2024 |
| Large Language Models are not Fair Evaluators P Wang, L Li, L Chen, D Zhu, B Lin, Y Cao, Q Liu, T Liu, Z Sui ACL2024, 2023 | 747 | 2023 |
| 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 | 728 | 2024 |
| Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations P Wang, L Li, Z Shao, RX Xu, D Dai, Y Li, D Chen, Y Wu, Z Sui ACL2024, 2023 | 718* | 2023 |
| 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 | 678 | 2024 |
| 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 | 405* | 2024 |
| MIT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning L Li, Y Yin, S Li, L Chen, P Wang, S Ren, M Li, Y Yang, J Xu, X Sun, ... arXiv preprint arXiv:2306.04387, 2023 | 318* | 2023 |
| Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding H Xia, Z Yang, Q Dong, P Wang, Y Li, T Ge, T Liu, W Li, Z Sui Findings of ACL2024, 2024 | 198 | 2024 |
| Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification Z Wang, P Wang, L Huang, X Sun, H Wang ACL2022, 2022 | 190 | 2022 |
| VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment L Li, Z Xie, M Li, S Chen, P Wang, L Chen, Y Yang, B Wang, L Kong, Q Liu EMNLP 2024, 2024 | 172* | 2024 |
| Speculative decoding: Exploiting speculative execution for accelerating seq2seq generation H Xia, T Ge, P Wang, SQ Chen, F Wei, Z Sui Findings of EMNLP 2023, 2022 | 150* | 2022 |
| Inference-time scaling for generalist reward modeling Z Liu, P Wang, R Xu, S Ma, C Ruan, P Li, Y Liu, Y Wu arXiv preprint arXiv:2504.02495, 2025 | 116 | 2025 |
| PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain L Chen, Y Zhang, S Ren, H Zhao, Z Cai, Y Wang, P Wang, X Meng, T Liu, ... Findings of ACL2024, 2024 | 96* | 2024 |
| HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification Z Wang, P Wang, T Liu, Y Cao, Z Sui, H Wang EMNLP2022, 2022 | 87 | 2022 |
| A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction R Xu, P Wang, T Liu, S Zeng, B Chang, Z Sui NAACL2022, 2022 | 85 | 2022 |
| Making large language models better reasoners with alignment P Wang, L Li, L Chen, F Song, B Lin, Y Cao, T Liu, Z Sui arXiv preprint arXiv:2309.02144, 2023 | 77 | 2023 |
| An enhanced span-based decomposition method for few-shot sequence labeling P Wang, R Xu, T Liu, Q Zhou, Y Cao, B Chang, Z Sui NAACL2022, 2021 | 73 | 2021 |
| Llm critics help catch bugs in mathematics: Towards a better mathematical verifier with natural language feedback B Gao, Z Cai, R Xu, P Wang, C Zheng, R Lin, K Lu, D Liu, C Zhou, W Xiao, ... Findings of the Association for Computational Linguistics: ACL 2025, 14588-14604, 2025 | 44 | 2025 |
Runxin XuDeepSeek AI | Peking UniversityVerified email at stu.pku.edu.cn
