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Who cites Yu Han

1,561 citations of their works from 1,561 papers of our library (of the 149,439 whose bibliographies we read) · 321 with a page here, the most cited first · page 4 of 4 · 301–321 · ← Yu Han

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  1. MorphoBench: A Benchmark with Difficulty Adaptive to Model ReasoningFindings of the Association for Computational LinguisticsXukai Wang, Xuanbo Liu, Mingrui Chen, et al.2026
  2. On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua CollaoWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Pool Pocco, Arturo Oncevay2026
  3. One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM AssignmentFindings of the Association for Computational LinguisticsHuixing Que, Qi Liu, Weibo Gao, et al.2026
  4. Optimizing Efficiency in Multi-Stage Semantic Re-ranking ArchitecturesInternational Conference on Computational Processing of PortugueseArtur M. A. Novais, Anna P. V. L. B. Moreira, Maria C. X. de Almeida, et al.2026
  5. PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information LeakageWorkshop on Trustworthy NLPKrishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.2026
  6. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum LearningFindings of the Association for Computational LinguisticsZhu Min, Yanchao Hao, Jian Liu, et al.2026
  7. Russian Generative Spelling, Punctuation and Capitalization CorrectionLanguage Resources and Evaluation Conference (LREC)Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.2026
  8. Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Subhadip Nandi, Tanishka Agarwal, Anshika Singh, et al.2026
  9. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
  10. SCOPE: Boosting LLM Efficiency with Scoped Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingguo Qi, Hongyang Chen, Zhao Li2026
  11. Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Ye Wang, Qianglong Chen, Siyuan Wang, et al.2026
  12. SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic LanguagesLanguage Resources and Evaluation Conference (LREC)Hannah Liu, Junghyun Min, Annie En-Shiun Lee, et al.2026
  13. SteuerLLM: Local specialized large language model for German tax law analysisarXiv:2602.11081 · Scientific Reports, Volume 16, 2026Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.2026
  14. Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation ApproachLanguage Resources and Evaluation Conference (LREC)Salim Al Mandhari, Hieu Pham Dinh, Mo El-Haj, et al.2026
  15. Understanding the Prompt SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Chenhui Chu2026
  16. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise SamplingFindings of the Association for Computational LinguisticsFei Wang, Li Shen, Liang Ding, et al.2026
  17. YNU-HPCC at SemEval-2026 Task 11: Mitigating Content Effects in Syllogistic Reasoning with Qwen2-1.5B-Instruct and XLM-RoBERTa-Large for English and Multilingual TasksMultilingual TasksInternational Workshop on Semantic Evaluation (SemEval)Rongchuan Luo, Jin Wang, Xuejie Zhang2026
  18. An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)Acta Automatica Sinica (自动化学报)Zhengfei Xu (徐正斐), Xin Xin (辛欣)2025
  19. Math Natural Language Inference: this should be easy!Joint Conference on Lexical and Computational Semantics (*SEM)Valeria de Paiva, Qiyue Gao, Hai Hu, et al.2025
  20. 360Zhinao Technical ReportarXiv:2405.133862024
  21. From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)Acta Automatica Sinica (自动化学报)Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.2024

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