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Who cites Yasuhisa Fujii

477 citations of their works from 474 papers of our library (of the 149,439 whose bibliographies we read) · 107 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Yasuhisa Fujii

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  1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  2. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  3. Query Rewriting in Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 384 citations
  4. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
  5. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsarXiv:2402.07927Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024 · 375 citations
  6. Orca: Progressive Learning from Complex Explanation Traces of GPT-4arXiv:2306.02707Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 369 citations
  7. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
  8. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  9. The False Promise of Imitating Proprietary LLMsarXiv:2305.15717Arnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 182 citations
  10. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionarXiv:2309.16797Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 174 citations
  11. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  12. 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
  13. Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningConference on Neural Information Processing Systems (NeurIPS)Zirui Zhao, Wee Sun Lee, David Hsu2023 · 153 citations
  14. LLaVA-CoT: Let Vision Language Models Reason Step-by-StepIEEE/CVF International Conference on Computer Vision (ICCV)Guowei Xu, Peng Jin, Ziang Wu, et al.2024 · 138 citations
  15. 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
  16. Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-steparXiv:2402.16906Li Zhong, Zilong Wang, Jingbo Shang2024 · 124 citations
  17. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 122 citations
  18. UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionarXiv:2308.03279Wenxuan Zhou, Sheng Zhang, Yu Gu, et al.2023 · 120 citations
  19. Platypus: Quick, Cheap, and Powerful Refinement of LLMsarXiv:2308.07317Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz2023 · 117 citations
  20. Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and DutiesProceedings of the AAAI Conference on Artificial IntelligenceTaylor Sorensen, Liwei Jiang, Jena Hwang, et al.2023 · 116 citations
  21. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
  22. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  23. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  24. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
  25. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingarXiv:2401.04398Zilong Wang, Hao Zhang, Chun-Liang Li, et al.2024 · 105 citations
  26. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
  27. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
  28. On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
  29. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  30. Knowledge Fusion of Large Language ModelsarXiv:2401.10491Fanqi Wan, Xinting Huang, Deng Cai, et al.2024 · 82 citations
  31. CODI: Compressing Chain-of-Thought into Continuous Space via Self-DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyi Shen, Hanqi Yan, Linhai Zhang, et al.2025 · 78 citations
  32. The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
  33. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksConference on Neural Information Processing Systems (NeurIPS)Minki Kang, Seanie Lee, Jinheon Baek, et al.2023 · 71 citations
  34. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
  35. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  36. Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingarXiv:2305.16635Jaehun Jung, Peter West, Liwei Jiang, et al.2023 · 36 citations
  37. Vision-Language Models Can Self-Improve Reasoning via ReflectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kanzhi Cheng, Li YanTao, Fangzhi Xu, et al.2025 · 35 citations
  38. 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
  39. mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huiyuan Lai, Malvina Nissim2024 · 34 citations
  40. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  41. Contextualization Distillation from Large Language Model for Knowledge Graph CompletionFindings of the Association for Computational LinguisticsDawei Li, Zhen Tan, Tianlong Chen, et al.2024 · 30 citations
  42. 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
  43. Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Peiying Yu, Guoxin Chen, Jingjing Wang2025 · 25 citations
  44. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
  45. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.2024 · 23 citations
  46. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  47. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
  48. Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsInternational Conference on Computational Linguistics (COLING)Yu Xia, Rui Wang, Xu Liu, et al.2025 · 19 citations
  49. Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al.2024 · 16 citations
  50. Understanding Figurative Meaning through Explainable Visual EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, et al.2025 · 15 citations
  51. Tailoring Self-Rationalizers with Multi-Reward DistillationInternational Conference on Learning Representations (ICLR)Sahana Ramnath, Brihi Joshi, Skyler Hallinan, et al.2023 · 14 citations
  52. QCRD: Quality-guided Contrastive Rationale Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Wang, Zhaowei Li, Qi Xu, et al.2025 · 13 citations
  53. SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language ModelsInternational Conference on Computational Linguistics (COLING)Huanxuan Liao, Shizhu He, Yupu Hao, et al.2025 · 12 citations
  54. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  55. Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
  56. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
  57. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
  58. 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
  59. RoT: Enhancing Table Reasoning with Iterative Row-Wise TraversalsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuanliang Zhang, Dingzirui Wang, Keyan Xu, et al.2025 · 10 citations
  60. Knowledge Distillation of Black-Box Large Language ModelsarXiv:2401.07013Hongzhan Chen, Ruijun Chen, Yuqi Yi, et al.2024 · 10 citations
  61. 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
  62. CTPD: Cross Tokenizer Preference DistillationarXiv:2601.11865Truong Nguyen, Phi Van Dat, Ngan Nguyen, et al.2026 · 8 citations
  63. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.2026 · 8 citations
  64. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
  65. TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Junnan Zhu, Jingyi Wang, Bohan Yu, et al.2025 · 7 citations
  66. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  67. LLM-Oriented Token-Adaptive Knowledge DistillationarXiv:2510.11615Xurong Xie, Zhucun Xue, Jiafu Wu, et al.2025 · 6 citations
  68. Weaver: Interweaving SQL and LLM for Table ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Rohit Khoja, Devanshu Gupta, Yanjie Fu, et al.2025 · 6 citations
  69. MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial ApplicationAnnual Meeting of the Association for Computational Linguistics (ACL)Xueqing Peng, Lingfei Qian, Yan Wang, et al.2026 · 4 citations
  70. When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Shenghao Ye, Yu Guo, Dong Jin, et al.2026 · 4 citations
  71. 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
  72. Long-Chain Reasoning Distillation via Adaptive Prefix AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenghao Liu, Zhuoyang Wu, Xinze Li, et al.2026 · 3 citations
  73. Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal AdjudicationAnnual Meeting of the Association for Computational Linguistics (ACL)Stanisław Sójka, Witold Kowalczyk2026 · 2 citations
  74. ClaimDB: A Fact Verification Benchmark over Large Structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah, et al.2026 · 2 citations
  75. Decision-Making with Deliberation: Meta-reviewing as a Document-grounded DialogueConference of the European Chapter of the Association for Computational Linguistics (EACL)Sukannya Purkayastha, Nils Dycke, Anne Lauscher, et al.2026 · 2 citations
  76. Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Tang, Wei Zhou, Mohsen Mesgar2026 · 2 citations
  77. 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
  78. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.2026 · 2 citations
  79. AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular DataarXiv:2507.18442Rana Alshaikh, Israa Alghanmi, Shelan Jeawak2025 · 2 citations
  80. Octopus: Towards Building the Arabic Speech LLM SuiteArabic Natural Language Processing Conference (ArabicNLP)Sara Althubaiti, Vasista Sai Lodagala, Tjad Clark, et al.2025 · 2 citations
  81. CoReTab: Improving Multimodal Table Understanding with Code-driven ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Van-Quang Nguyen, Takayuki Okatani2026 · 1 citation
  82. Efficient Table Retrieval and Understanding with Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsZhuoyan Xu, Haoyang Fang, Boran Han, et al.2026 · 1 citation
  83. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionFindings of the Association for Computational LinguisticsZhuoyang Wu, Xinze Li, Zhenghao Liu, et al.2026 · 1 citation
  84. EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026 · 1 citation
  85. IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zechen Sun, Yuyang Sun, Zecheng Tang, et al.2026 · 1 citation
  86. P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic ChecklistAnnual Meeting of the Association for Computational Linguistics (ACL)Kwangwook Seo, Dongha Lee2026 · 1 citation
  87. YNU-HPCC at SemEval-2026 Task 12: Retrieval-Guided Reasoning with Teacher Distillation for Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Yuwei Sun, Jin Wang, Xuejie Zhang2026 · 1 citation
  88. Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-EncodersInternational Conference on Computational Linguistics (COLING)Sanjay Agrawal, Faizan Ahemad, Vivek Varadarajan Sembium2025 · 1 citation
  89. Asking language models how to represent data for fine-tuningWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraUsneek Singh, Ananya Singha, Abhijeet Awasthi, et al.2026
  90. Can LLMs Self-Correct Table Reasoning Errors?Workshop on Structured Understanding, Retrieval, and Generation in the LLM EraFarseen Shaikh2026
  91. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
  92. Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense ReasoningFindings of the Association for Computational LinguisticsYiheng Tao, Kaiwen Cheng, Zhiwei Nie, et al.2026
  93. Entity Linking for Faroese Using Large Language Models with Web SearchWorkshop on the Role of Resources in the Age of Large Language ModelsAnnika Simonsen, Iben Nyholm Debess, Hafsteinn Einarsson2026
  94. Greench-v1: distilling SLMs on Greenwashing DetectionWorkshop on Ecology, Environment, and Natural Language ProcessingFederico Raspanti, Alessandro Pietro Bardelli Bardelli, Simona Scala, et al.2026
  95. IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 EnglisharXiv:2609.15618Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truica, et al.2026
  96. Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Mingrui Zhang, Ke Li, et al.2026
  97. ProBel: Propaganda Detection with Techniques, Spans, and ExplanationsarXiv:2608.22388Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, et al.2026
  98. Protecting Language Models Against Unauthorized Distillation through Trace RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhang Ma, William Yeoh, Ning Zhang, et al.2026
  99. RABIT: Rationale-Based Distillation Towards Interpretable Automatic Speaking Assessment via a Small Language ModelWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Bi-Cheng Yan, Hong-Yun Lin, Fu-An Chao, et al.2026
  100. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.2026

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