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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) · 2,752 with a page here, the most cited first · page 28 of 28 · 2701–2752 · ← Andrew Dai

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  1. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  2. Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Yang, Bing Han, Hui Wang, et al.2026
  3. Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongho Yoon, Chanhee Park, Yongchan Chun, et al.2026
  4. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
  5. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
  6. TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question AnsweringFindings of the Association for Computational LinguisticsYingxu Wang, Jiaxin Huang, Mengzhu Wang, et al.2026
  7. Training-Free Adaptive Speculative Decoding via Linguistic PriorsFindings of the Association for Computational LinguisticsJingyi Wang, Jiaqi Huang, Zunnan Xu, et al.2026
  8. Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical RecordsFindings of the Association for Computational LinguisticsXinjie Xu, Yongqi Fan, Shuang-shuang Chen, et al.2026
  9. 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
  10. 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
  11. 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
  12. Ultra-Low-Dimensional Prompt Tuning via Random ProjectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Zijun Wu, Yongchang Hao, Lili Mou2026
  13. UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal ReasoningFindings of the Association for Computational LinguisticsYifan Wang, Yun Fu2026
  14. Understanding the Prompt SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Chenhui Chu2026
  15. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026
  16. 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
  17. 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
  18. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  19. 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
  20. Verifiable LLM-Generated Text Detection via Projected Semantic-Structural DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochong Xiong, Qien Li, Wangwang Lian, et al.2026
  21. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  22. 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
  23. 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
  24. 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
  25. 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
  26. What Tokens Truly Matter? The Logit Conflation Problem in LLM SamplingFindings of the Association for Computational LinguisticsPinlong Zhao, Huijun Tang, Pengfei Jiao, et al.2026
  27. When Demographic Sensitivity Isn't What It Seems: Baseline-Aware Counterfactual Audits for Clinical NLPBioNLPHyunwoo Yoo2026
  28. When Discourse Pressures Conflict: Information Structure in Vision-Language Model OutputsarXiv:2605.28346Marcell Fekete, Johannes Bjerva, Tamas Kaldi2026
  29. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  30. 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
  31. 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
  32. You Only Need One Single Token to Refine Safety AlignmentFindings of the Association for Computational LinguisticsWenqian Yu, Shuo Chen, Zhijiang Li, et al.2026
  33. 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
  34. 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
  35. -SEA³-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer GenerationArabic Natural Language Processing Conference (ArabicNLP)Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar2025
  36. A MISMATCHED Benchmark for Scientific Natural Language InferenceFindings of the Association for Computational LinguisticsFiroz Shaik, Mobashir Sadat, Nikita Gautam, et al.2025
  37. 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
  38. 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
  39. 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
  40. mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot PromptingRecent Advances in Natural Language Processing (RANLP)Ahmed Mohamed Abdelaal Abdou2025
  41. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed TechniquesLang Xiong, Raina Gao, Alyssa Jeong2025
  42. SLENDER: Structured Outputs for SLM-based NER in Low-Resource EnglishesAnnual Meeting of the Association for Computational Linguistics (ACL)Nicole Ren, James Teo2025
  43. 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
  44. 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
  45. 360Zhinao Technical ReportarXiv:2405.133862024
  46. Automated Speech Act Classification in Offensive German Language TweetsTraitement Automatique des LanguesMelina Plakidis, Elena Leitner, Georg Rehm2024
  47. 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
  48. 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
  49. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  50. 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
  51. 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
  52. Training LLMs to Recognize Hedges in Spontaneous NarrativesSIGDIAL 2024Amie J. Paige, Adil Soubki, John Murzaku, et al.2024

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