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Who cites Andrew Dai

15,878 citations of their works from 12,095 papers of our library (of the 149,439 whose bibliographies we read) · 2,333 with a page here, the most cited first · page 24 of 24 · 2301–2333 · ← Andrew Dai

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  1. Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical FallaciesAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Shen, li Yuan, Ye Chen, et al.2026
  2. TruthTrap: A Bilingual Benchmark for Evaluating Factually Correct Yet Misleading Information in Question AnsweringFindings of the Association for Computational LinguisticsMohammadamin Shafiei, Hamidreza Saffari, Mohammad Taher Pilehvar, et al.2026
  3. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Luo, Guangyue Peng, Wei Li, et al.2026
  4. UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal ReasoningFindings of the Association for Computational LinguisticsYifan Wang, Yun Fu2026
  5. Understanding the Prompt SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Chenhui Chu2026
  6. 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
  7. Unmasking the Factual-Conceptual Gap in Persian Language ModelsProceedings of the Workshop on NLP and LLMs for the Iranian Language FamilyAlireza Sakhaeirad, Ali Ma'manpoosh, Arshia Hemmat2026
  8. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, 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. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  11. 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
  12. We Are What We Repeatedly Do: Improving Long Context Instruction FollowingFindings of the Association for Computational LinguisticsPreston K Robinette, Andrew Hard, Swaroop Ramaswamy, et al.2026
  13. WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation MetricsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenxu Liu, Yingjie Fu, Wei Yang, et al.2026
  14. When Discourse Pressures Conflict: Information Structure in Vision-Language Model OutputsarXiv:2605.28346Marcell Fekete, Johannes Bjerva, Tamas Kaldi2026
  15. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  16. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026
  17. Zero-Shot Detection of LLM-Generated Text using Temperature SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Shixuan Ma, Jiahao Li, Zhendong Mao, et al.2026
  18. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  19. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  20. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  21. Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)Journal of SoftwareXindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.2025
  22. MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA LanguagesarXiv:2511.04914Hardik B. Sailor, Aw Ai Ti, Chen Fang Yih Nancy, et al.2025
  23. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed TechniquesLang Xiong, Raina Gao, Alyssa Jeong2025
  24. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025
  25. 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
  26. 360Zhinao Technical ReportarXiv:2405.133862024
  27. Automated Speech Act Classification in Offensive German Language TweetsTraitement Automatique des LanguesMelina Plakidis, Elena Leitner, Georg Rehm2024
  28. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
  29. From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)Acta Automatica Sinica (自动化学报)Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.2024
  30. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  31. Robustness of GPT Large Language Models on Natural Language Processing Tasks (GPT系列大语言模型在自然语言处理任务中的鲁棒性)Journal of Computer Research and DevelopmentXuanting Chen (陈炫婷), Junjie Ye (叶俊杰), Can Zu (祖璨), et al.2024
  32. 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
  33. Training LLMs to Recognize Hedges in Spontaneous NarrativesSIGDIAL 2024Amie J. Paige, Adil Soubki, John Murzaku, et al.2024

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