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Who cites Dane Sherburn

2,344 citations of their works from 2,285 papers of our library (of the 149,439 whose bibliographies we read) · 618 with a page here, the most cited first · page 7 of 7 · 601–618 · ← Dane Sherburn

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  1. Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral VignettesLanguage Resources and Evaluation Conference (LREC)Quintin Myers, Yanjun Gao2026
  2. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
  3. UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained AssessmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.2026
  4. v-HUB: A Benchmark for Video Humor Understanding from Vision and SoundAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.2026
  5. 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
  6. VERICITE: Evaluating Sentence-Level Citation Faithfulness in Retrieval-Augmented Medical Question AnsweringBioNLPYixian Ma, Bohao Chu, Norbert Fuhr2026
  7. Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation CuesFindings of the Association for Computational LinguisticsZory Zhang, Pinyuan Feng, Bingyang Wang, et al.2026
  8. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsLanguage Resources and Evaluation Conference (LREC)Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026
  9. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.2026
  10. When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical PressureAnnual Meeting of the Association for Computational Linguistics (ACL)Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.2026
  11. When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Sun, Wangdexian, Jingang Huang, et al.2026
  12. Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?Findings of the Association for Computational LinguisticsChristophe Ye, Cassie S. Mitchell2026
  13. Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci2026
  14. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  15. mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot PromptingRecent Advances in Natural Language Processing (RANLP)Ahmed Mohamed Abdelaal Abdou2025
  16. MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense ValidationarXiv:2508.13130Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.2025
  17. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed TechniquesLang Xiong, Raina Gao, Alyssa Jeong2025
  18. When Does Meaning Backfire? Investigating the Role of AMRs in NLIJoint Conference on Lexical and Computational Semantics (*SEM)Junghyun Min, Xiulin Yang, Shira Wein2025

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