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Who cites Yichun Yin

913 citations of their works from 854 papers of our library (of the 149,439 whose bibliographies we read) · 108 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Yichun Yin

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  1. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
  2. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsarXiv:2201.11903Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,499 citations
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  4. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for EducationEnkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.2023 · 7,440 citations
  5. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
  6. Training Verifiers to Solve Math Word ProblemsarXiv:2110.14168Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.2021 · 3,796 citations
  7. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsarXiv:2203.11171Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,121 citations
  8. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Omar Khattab, Matei Zaharia2020 · 1,789 citations
  9. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
  10. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
  11. Let's Verify Step by SteparXiv:2305.20050Hunter Lightman, Vineet Kosaraju, Yura Burda, et al.2023 · 1,412 citations
  12. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
  13. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Timo Schick, Hinrich Schütze2021 · 1,132 citations
  14. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
  15. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
  16. FNet: Mixing Tokens with Fourier TransformsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.2022 · 597 citations
  17. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  18. DeeBERT: Dynamic Early Exiting for Accelerating BERT InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Ji Xin, Raphael Tang, Jaejun Lee, et al.2020 · 487 citations
  19. LLM-Pruner: On the Structural Pruning of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Xinyin Ma, Gongfan Fang, Xinchao Wang2023 · 452 citations
  20. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsarXiv:2201.07207Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 443 citations
  21. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.2021 · 425 citations
  22. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  23. FastBERT: a Self-distilling BERT with Adaptive Inference TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Weijie Liu, Peng Zhou, Zhiruo Wang, et al.2020 · 383 citations
  24. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructarXiv:2308.09583Haipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 372 citations
  25. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
  26. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
  27. Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 304 citations
  28. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 304 citations
  29. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  30. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
  31. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsFindings of the Association for Computational LinguisticsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 276 citations
  32. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 245 citations
  33. BERT-of-Theseus: Compressing BERT by Progressive Module ReplacingConference on Empirical Methods in Natural Language Processing (EMNLP)Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.2020 · 240 citations
  34. Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
  35. Making Language Models Better Reasoners with Step-Aware VerifierAnnual Meeting of the Association for Computational Linguistics (ACL)Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 217 citations
  36. TernaryBERT: Distillation-aware Ultra-low Bit BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Zhang, Lu Hou, Yichun Yin, et al.2020 · 213 citations
  37. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 203 citations
  38. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasConference on Neural Information Processing Systems (NeurIPS)Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 202 citations
  39. Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 202 citations
  40. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
  41. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  42. Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningInternational Conference on Computational Linguistics (COLING)Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al.2022 · 195 citations
  43. Compressing Large-Scale Transformer-Based Models: A Case Study on BERTTransactions of the Association for Computational Linguistics (TACL)Prakhar Ganesh, Yao Chen, Xin Lou, et al.2021 · 190 citations
  44. SqueezeLLM: Dense-and-Sparse QuantizationarXiv:2306.07629Sehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 170 citations
  45. BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoli Bai, Wei Zhang, Lu Hou, et al.2021 · 166 citations
  46. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
  47. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
  48. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  49. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  50. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 130 citations
  51. LEVER: Learning to Verify Language-to-Code Generation with ExecutionarXiv:2302.08468Ansong Ni, Srini Iyer, Dragomir Radev, et al.2023 · 126 citations
  52. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
  53. MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsFindings of the Association for Computational LinguisticsZhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.2022 · 115 citations
  54. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataarXiv:2405.14333Huajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
  55. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei Lu2022 · 102 citations
  56. f-Divergence Minimization for Sequence-Level Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqiao Wen, Zichao Li, Wenyu Du, et al.2023 · 92 citations
  57. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  58. BERT Busters: Outlier Dimensions that Disrupt TransformersFindings of the Association for Computational LinguisticsOlga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, et al.2021 · 90 citations
  59. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
  60. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
  61. The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
  62. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
  63. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
  64. F-coref: Fast, Accurate and Easy to Use Coreference ResolutionConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Shon Otmazgin, Arie Cattan, Yoav Goldberg2022 · 45 citations
  65. Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
  66. Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yingjie Li, Chenye Zhao, Cornelia Caragea2021 · 39 citations
  67. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsarXiv:2402.12030 · Transactions on Machine Learning Research, January 2025Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 35 citations
  68. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  69. AutoPSV: Automated Process-Supervised VerifierConference on Neural Information Processing Systems (NeurIPS)Jianqiao Lu, Zhiyang Dou, Hongru Wang, et al.2024 · 28 citations
  70. Towards the Law of Capacity Gap in Distilling Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Qiuchi Li, Dawei Song, et al.2025 · 27 citations
  71. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
  72. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
  73. Language Model Self-improvement by Reinforcement Learning ContemplationarXiv:2305.14483Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu; Zongzhang Zhang;, Yang Yu2023 · 22 citations
  74. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
  75. M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)ChengYan Wu, Bolei Ma, Yihong Liu, et al.2025 · 21 citations
  76. Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsFindings of the Association for Computational LinguisticsNghia T. Le, Fan Bai, Alan Ritter2022 · 20 citations
  77. FormalAlign: Automated Alignment Evaluation for AutoformalizationarXiv:2410.10135Jianqiao Lu, Yingjia Wan, Yinya Huang, et al.2024 · 18 citations
  78. Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge DistillationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al.2024 · 16 citations
  79. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
  80. Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionarXiv:2505.22375Hanting Chen, Yasheng Wang, Kai Han, et al.2025 · 13 citations
  81. Distilling Calibrated Knowledge for Stance DetectionFindings of the Association for Computational LinguisticsYingjie Li, Cornelia Caragea2023 · 13 citations
  82. Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar2022 · 13 citations
  83. CriticLean: Critic-Guided Reinforcement Learning for Mathematical FormalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.2026 · 12 citations
  84. EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport AlignmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Minh-Phuc Truong, Hai An Vu, Tu Vu, et al.2025 · 10 citations
  85. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.2025 · 10 citations
  86. Knowledge Distillation of Black-Box Large Language ModelsarXiv:2401.07013Hongzhan Chen, Ruijun Chen, Yuqi Yi, et al.2024 · 10 citations
  87. Expression Syntax Information Bottleneck for Math Word ProblemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Jing Xiong, Chengming Li, Min Yang, et al.2023 · 10 citations
  88. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUsarXiv:2505.04519Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.2025 · 8 citations
  89. Cross-lingual transfer for low-resource Arabic language understandingArabic Natural Language Processing Workshop (WANLP)Khadige Abboud, Olga Golovneva, Christopher DiPersio2022 · 8 citations
  90. TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge DistillationarXiv:2503.04872Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.2025 · 7 citations
  91. Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.2025 · 6 citations
  92. Detecting Anti-Semitic Hate Speech using Transformer-based Large Language ModelsarXiv:2405.03794Dengyi Liu, Minghao Wang, Andrew G. Catlin2024 · 6 citations
  93. Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dadi Guo, Jiayu Liu, Zhiyuan Fan, et al.2026 · 5 citations
  94. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningFindings of the Association for Computational LinguisticsJun Rao, Xuebo Liu, Hexuan Deng, et al.2026 · 4 citations
  95. Pangu Pro MoE: Mixture of Grouped Experts for Efficient SparsityarXiv:2505.21411Yehui Tang, Xiaosong Li, Fangcheng Liu, et al.2025 · 4 citations
  96. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic HierarchiesFindings of the Association for Computational LinguisticsChanghai Zhou, Shiyang Zhang, Yuhua Zhou, et al.2026 · 3 citations
  97. Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
  98. FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model CompressionFindings of the Association for Computational LinguisticsJiayi Tian, Ryan Solgi, Jinming Lu, et al.2026 · 2 citations
  99. LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Robin Vujanic, Thomas Rückstieß2026 · 2 citations
  100. Multi-Granularity Semantic Revision for Large Language Model DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Liu, Yun Zhang, Wei Li, et al.2026 · 2 citations

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