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Who cites Yanping Huang

698 citations of their works from 653 papers of our library (of the 149,439 whose bibliographies we read) · 113 with a page here, the most cited first · page 2 of 2 · 101–113 · ← Yanping Huang

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  1. Pangu Pro MoE: Mixture of Grouped Experts for Efficient SparsityarXiv:2505.21411Yehui Tang, Xiaosong Li, Fangcheng Liu, et al.2025 · 4 citations
  2. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
  3. Analytical FFN-to-MoE Restructuring via Activation Pattern AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zehua Pei, Hui-Ling Zhen, Lancheng Zou, et al.2026 · 1 citation
  4. HARM: Learning Hate-Aware Reward Model for Evaluating Natural Language Explanations of Offensive ContentFindings of the Association for Computational LinguisticsLorenzo Puppi Vecchi, Alceu de Souza Britto Jr, Emerson Cabrera Paraiso, et al.2026 · 1 citation
  5. A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoEAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zhou, Tianhao Li, Zhijun Wang, et al.2026
  6. High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel ComputingFindings of the Association for Computational LinguisticsLiangyu Wang, Huanyi Xie, Di Wang2026
  7. MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wu, Chao Xu, Jianghui Wang, et al.2026
  8. Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule InterpolationAnnual Meeting of the Association for Computational Linguistics (ACL)Huachen Qi, Ruiyu Zhuo, Bowen Shi, et al.2026
  9. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
  10. Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New PerspectivesFindings of the Association for Computational LinguisticsYajiao Liu, Congliang Chen, Junchi Yang, et al.2026
  11. SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about LaughterAnnual Meeting of the Association for Computational Linguistics (ACL)Lee Jung-Mok, Kim Sung-Bin, Joohyun Chang, et al.2026
  12. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  13. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025

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