🧑‍🔬 Who cites Mingyuan Zhou

207 citations of their works from 203 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Mingyuan Zhou

1. TuckER: Tensor Factorization for Knowledge Graph CompletionarXiv:1901.09590Ivana Balažević, Carl Allen, Timothy M. Hospedales2019 · 799 citations
2. WizardLM: Empowering large pre-trained language models to follow complex instructionsInternational Conference on Learning Representations (ICLR)Can Xu, Qingfeng Sun, Kai Zheng, et al.2023 · 741 citations
3. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
4. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
5. MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationarXiv:2310.03302Qian Huang, Jian Vora, Percy Liang, et al.2023 · 147 citations
6. Self Forcing: Bridging the Train-Test Gap in Autoregressive Video DiffusionConference on Neural Information Processing Systems (NeurIPS)Xun Huang, Zhengqi Li, Guande He, et al.2025 · 146 citations
7. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
8. Data Interpreter: An LLM Agent for Data ScienceFindings of the Association for Computational LinguisticsSirui Hong, Yizhang Lin, Bang Liu, et al.2025 · 91 citations
9. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
10. DiscoveryBench: Towards Data-Driven Discovery with Large Language ModelsarXiv:2407.01725Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 55 citations
11. OpenCodeReasoning: Advancing Data Distillation for Competitive CodingarXiv:2504.01943Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.2025 · 33 citations
12. Sentiment Analysis through LLM NegotiationsarXiv:2311.01876Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.2023 · 25 citations
13. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
14. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
15. rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified DatasetConference on Neural Information Processing Systems (NeurIPS)Yifei Liu, Li Lyna Zhang, Yi Zhu, et al.2025 · 8 citations
16. ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lingxiao Tang, He Ye, Zhaoyang Chu, et al.2026 · 1 citation
17. A2O: LLM-based Agentic Learning of Action-to-Object Features for Video Action RecognitionFindings of the Association for Computational LinguisticsTaiki Sekii, Fumiaki Sato2026
18. Bootstrapping Code Translation with Weighted Multilanguage ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhan Wu, Huan Zhang, Wei Cheng, et al.2026
19. CodeRM-NT: Reward Model for Code RL without Unit TestsFindings of the Association for Computational LinguisticsXiao Xia, Dan Zhang, Tianrui Sun2026
20. Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language ProductionAnnual Meeting of the Association for Computational Linguistics (ACL)Maoxiao Ye, Xinfeng Ye, Sathiamoorthy Manoharan2026
21. MSVBench: Towards Human-Level Evaluation of Multi-Shot Video GenerationFindings of the Association for Computational LinguisticsHaoyuan Shi, Yunxin li, Nanhao Deng, et al.2026
22. MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token PredictionFindings of the Association for Computational LinguisticsKe Wang, Aohan Zeng, Zhengxiao Du, et al.2026
23. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026

180 more citing papers of our library have no page here yet.

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