| 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 | 376 | 2025 |
| Critic: Large language models can self-correct with tool-interactive critiquing Z Gou, Z Shao, Y Gong, Y Shen, Y Yang, N Duan, W Chen ICLR 2024, 2023 | 356* | 2023 |
| Deepseekmath: Pushing the limits of mathematical reasoning in open language models Z Shao, P Wang, Q Zhu, R Xu, J Song, X Bi, H Zhang, M Zhang, YK Li, ... arXiv preprint arXiv:2402.03300, 2024 | 351* | 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 | 262 | 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 | 255* | 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 ACL 2024, 2023 | 241* | 2023 |
| Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen Findings of EMNLP 2023, 2023 | 192 | 2023 |
| ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving Z Shao*, Z Gou*, Y Gong, Y Yang, M Huang, N Duan, W Chen ICLR 2024, 2023 | 182* | 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 | 181 | 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, ... arXiv preprint arXiv:2406.11931, 2024 | 178* | 2024 |
| Long and diverse text generation with planning-based hierarchical variational model Z Shao, M Huang, J Wen, W Xu, X Zhu EMNLP 2019, 2019 | 132 | 2019 |
| Synthetic prompting: Generating chain-of-thought demonstrations for large language models Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen ICML 2023, 2023 | 98 | 2023 |
| DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data H Xin, D Guo, Z Shao, Z Ren, Q Zhu, B Liu, C Ruan, W Li, X Liang NeurIPS 2024 Workshop MATH-AI, 2024 | 51 | 2024 |
| DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search H Xin*, ZZ Ren*, J Song*, Z Shao*, W Zhao, H Wang, B Liu, L Zhang, X Lu, ... ICLR 2025, 2024 | 42* | 2024 |
| Chaining Simultaneous Thoughts for Numerical Reasoning Z Shao, F Huang, M Huang Findings of EMNLP 2022, 2022 | 16 | 2022 |
| AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text Z Shao, Z Wu, M Huang TASLP 2021, 2020 | 16 | 2020 |
| Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework Z Shao, M Huang ACL 2022, 2021 | 13 | 2021 |
| A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering Z Shao, L Shang, Q Liu, M Huang ACL 2021, 2021 | 6 | 2021 |
| Learning Task Decomposition to Assist Humans in Competitive Programming J Wen, R Zhong, P Ke, Z Shao, H Wang, M Huang ACL 2024, 2024 | 4 | 2024 |
| Cotk: An open-source toolkit for fast development and fair evaluation of text generation F Huang, D Wan, Z Shao, P Ke, J Guan, Y Niu, X Zhu, M Huang arXiv preprint arXiv:2002.00583, 2020 | 3 | 2020 |
Junxiao SongThe Hong Kong University of Science and TechnologyVerified email at connect.ust.hk
