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Who cites Qian Huang

1,126 citations of their works from 1,115 papers of our library (of the 149,439 whose bibliographies we read) · 320 with a page here, the most cited first · page 4 of 4 · 301–320 · ← Qian Huang

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  1. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
  2. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  3. 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
  4. InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based AgentsFindings of the Association for Computational LinguisticsYixin Wu, Rui Wen, Chi Cui, et al.2026
  5. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
  6. 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
  7. MedKInstruct: A Multimodal Knowledge Graph Based Framework for Multi-Hop and Hard-Negative Instruction Data Synthesis in MedVQAFindings of the Association for Computational LinguisticsYinan Wu, Jihang Jin, Xuhao Bao, et al.2026
  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. Reasoning as Gradient: Scaling MLE Agents Beyond Tree SearchFindings of the Association for Computational LinguisticsYifei Zhang, Xu Yang, Xiao Yang, et al.2026
  12. 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
  13. SD-E2: Semantic Exploration for Reasoning Under Token BudgetsFindings of the Association for Computational LinguisticsKshitij Mishra, Nils Lukas, Salem Lahlou2026
  14. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  15. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  16. Towards a Radiologist Imitation Framework for 3D CT Diagnosis with Multimodal LLMsBioNLPKaidi Zhang, Zhiyuan Yan, Gao Cheng, et al.2026
  17. 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
  18. Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data ScienceFindings of the Association for Computational LinguisticsJunkun Qiu, Min Huang, Qinghai Miao2026
  19. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  20. 🧑‍🍳 Cooking Up Creativity: Enhancing LLM Creativity through Structured RecombinationTransactions of the Association for Computational Linguistics (TACL)Moran Mizrahi, Chen Shani, Gabriel Stanovsky, et al.2026

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