🧑‍🔬 Who cites Yin Zhang

82 citations of their works from 81 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Yin Zhang

1. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
2. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
3. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
4. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
5. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
6. Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem ProvingConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Quan, Marco Valentino, Louise A. Dennis, et al.2024 · 52 citations
7. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
8. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
9. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
10. ToDi: Token-wise Distillation via Fine-Grained Divergence ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Seongryong Jung, Suwan Yoon, DongGeon Kim, et al.2025 · 12 citations
11. A Survey of Inductive Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.2026 · 10 citations
12. FaithLM: Towards Faithful Explanations for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.2026 · 9 citations
13. Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
14. Through the Valley: Path to Effective Long CoT Training for Small Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Luo, Jiaxi Li, Chen Huang, et al.2025 · 7 citations
15. Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenrui Zhou, Mohamed Hendy, Shu Yang, et al.2026 · 6 citations
16. INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yangjunqi, Yuecong Min, Jie Zhang, et al.2026 · 5 citations
17. Interleaved Latent Visual Reasoning with Selective Perceptual ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Dong, Siyuan Wang, Xingyu Liu, et al.2026 · 5 citations
18. MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP IntegrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yakun Zhu, Yutong Huang, Shengqian Qin, et al.2026 · 2 citations
19. Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information ExtractionFindings of the Association for Computational LinguisticsChong Zhang, Yixi Zhao, Yulu Xie, et al.2026 · 1 citation
20. MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.2026
21. Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking StrategiesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson2026

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