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Who cites Binhang Yuan

1,524 citations of their works from 1,450 papers of our library (of the 149,439 whose bibliographies we read) · 316 with a page here, the most cited first · page 4 of 4 · 301–316 · ← Binhang Yuan

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  1. FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained EvaluationFindings of the Association for Computational LinguisticsJuhyun Oh, Nayeon Lee, Chani Jung, et al.2026
  2. From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public SectorarXiv:2608.17827Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026
  3. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
  4. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
  5. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  6. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  7. Lexical Popularity: Quantifying the Impact of Pre-training for LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, Tommaso Caselli2026
  8. On the Cultural Anachronism and Temporal Reasoning in Vision Language ModelsFindings of the Association for Computational LinguisticsMukul Ranjan, Prince Jha, Khushboo Kumari, et al.2026
  9. Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingLanguage Resources and Evaluation Conference (LREC)Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
  10. Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arash Asgari, Huan Wu, Amirreza Naziri, et al.2026
  11. Revisiting German Complex Word Identification: Contextualized LLMs and Feature InjectionJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECThorben Schomacker, Seid Muhie Yimam, Chris Biemann, et al.2026
  12. RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Siran Liu, Guoxia Wang, Sa Wang, et al.2026
  13. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  14. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  15. Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and PracticeFindings of the Association for Computational LinguisticsQiyao Wang, Guhong Chen, Hongbo Wang, et al.2026
  16. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026

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