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Who cites Lei Huang

881 citations of their works from 872 papers of our library (of the 149,439 whose bibliographies we read) · 216 with a page here, the most cited first · page 3 of 3 · 201–216 · ← Lei Huang

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  1. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Liu, Victor Bursztyn, Lin Ai, et al.2026
  2. TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine ActionFindings of the Association for Computational LinguisticsChenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.2026
  3. The Structure-Content Trade-off in Knowledge Graph Retrieval: A Diagnostic Study of Question DecompositionKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Valentin Six, Gaël de Chalendar, Evan Dufraisse2026
  4. Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient ReasoningFindings of the Association for Computational LinguisticsYi Sui, Chaozhuo Li, Dawei Song2026
  5. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMsFindings of the Association for Computational LinguisticsXiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.2026
  6. TPA: Next Token Probability Attribution for Detecting Hallucinations in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Pengqian Lu, Jie Lu, Anjin Liu, et al.2026
  7. Tricking Open-World Object Recognition Models: Uncertainty in Out-of-Distribution DetectionWorkshop on Towards Knowledgeable Foundation ModelsWout Teillers, Matias Valdenegro-Toro2026
  8. Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19Joint Conference on Lexical and Computational Semantics (*SEM)Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.2026
  9. Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Sangkwon Park, Donghun Kang, Jisoo Mok, et al.2026
  10. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  11. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqing Yang, Qi Zhu, Zhen Han, et al.2026
  12. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMsFindings of the Association for Computational LinguisticsZhongxiang Sun, Yi Zhan, Chenglei Shen, et al.2026
  13. Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed RefinementFindings of the Association for Computational LinguisticsMidan Shim, Seokju Hwang, KaeHyun Um, et al.2026
  14. “Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert CollaborationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Wu, Jinhong Yu, Jingwei Xiong, et al.2026
  15. Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)Annual Meeting of the Association for Natural Language Processing荒沢康平, 狩野芳伸2024
  16. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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