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Who cites Quoc Viet Le

47,619 citations of their works from 30,072 papers of our library (of the 149,439 whose bibliographies we read) · 5,372 with a page here, the most cited first · page 49 of 54 · 4801–4900 · ← Quoc Viet Le

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  1. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  2. Helpful or Harmful? The Dual Role of Linguistic Features in LLM-Based Dialectal Machine TranslationWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksAbdelhalim Hafedh Dahou, Mohamed Amine Cheragui2026
  3. Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.2026
  4. HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.2026
  5. Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine TranslationLanguage Resources and Evaluation Conference (LREC)Malik Marmonier, Benoît Sagot, Rachel Bawden2026
  6. HistoryBankQA: Multilingual Temporal Question Answering on Historical EventsJoint Conference on Lexical and Computational Semantics (*SEM)Biswadip Mandal, Anant Khandelwal, Manish Gupta2026
  7. HiTZ-IXA at ArchEHR-QA 2026: Evidence Alignment Through Self-Consistency and Prompt Curation in Memory-Constrained EnvironmentsWorkshop on Patient-Oriented Language Processing @ LRECXabier Irastortza-Urbieta, Maite Oronoz, Alicia Pérez2026
  8. HotelCheckSpan: A Benchmark Dataset for LLM FaithfulnessLanguage Resources and Evaluation Conference (LREC)Patricia Schmidtova, Ondrej Dusek, Saad Mahamood2026
  9. How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Tongyao Zhu, Qian Liu, Chang Ma, et al.2026
  10. How Do Language Models Acquire Character-Level Information?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Soma Sato, Ryohei Sasano2026
  11. How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Ping Jian, Zhongbin Guo, et al.2026
  12. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
  13. How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.2026
  14. How English Print Media Frames Human-Elephant Conflicts in IndiaarXiv:2604.21496Bonala Sai Punith, Salveru Jayati, Garima Shakya, et al.2026
  15. How Foundation Models Behave for Arabic Image Captioning?Workshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksKhaoula Dahimi, Amel Belabbaci, Hadda Cherroun, et al.2026
  16. How Retrieved Context Shapes Internal Representations in RAGFindings of the Association for Computational LinguisticsSamuel Yeh, Sharon Li2026
  17. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
  18. How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Xiaoyun Feng, Lyuxin Xue, et al.2026
  19. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
  20. HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jianwen Luo, Yongkang Jin, Yu Hong, et al.2026
  21. Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative StudyLanguage Resources and Evaluation Conference (LREC)Anh Ngo, Nicolas Rollet, Catherine Pelachaud, et al.2026
  22. Hybrid Self-evolving Structured Memory for Computer-Use AgentsFindings of the Association for Computational LinguisticsSibo Zhu, Wenyi WU, Kun Zhou, et al.2026
  23. I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue SystemAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zi Haur Pang, Yahui Fu, Koji Inoue, et al.2026
  24. I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan Yu, Junhao Xiao, Chenyu Zhu, et al.2026
  25. ID10M-JAM: Stress-Testing Idiom Identification Under Challenging ContextFindings of the Association for Computational LinguisticsKai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.2026
  26. Ideology Prediction of German Political TextsarXiv:2605.14352Sinclair Schneider, Florian Steuber, Joao A. G. Schneider, et al.2026
  27. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Xu, Ningyuan Zhao, Yunzhi Yao, et al.2026
  28. ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee2026
  29. Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language ModelsWorkshop on Linguistic Analysis for HealthCraig Myles, Patrick Schrempf, David Harris-Birtill2026
  30. ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuancheng Yang, Lin Yang, Xu Wang, et al.2026
  31. Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric PerspectiveFindings of the Association for Computational LinguisticsYining Qian, Jinpeng Li, Fei Mi, et al.2026
  32. Improving Retrieval-Augmented Generation without Taxonomy-based Error CategorizationAnnual Meeting of the Association for Computational Linguistics (ACL)Gongbo Zhang, Yifan Peng, Chunhua Weng2026
  33. IndigiEval: Evaluating LLMs in North American Indigenous LanguagesWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Julia Mainzinger, Jacqueline Brixey2026
  34. Infinity-MoE: Generalizing Mixture of Experts to Infinite ExpertsConference of the European Chapter of the Association for Computational Linguistics (EACL)Shota Takashiro, Takeshi Kojima, Shohei Taniguchi, et al.2026
  35. Innov8rs at CRF Filling 2026: An Iterative Multi-LLM Ensemble Pipeline with Dynamic Few-Shot Retrieval and Data-Driven Precision FilteringWorkshop on Patient-Oriented Language Processing @ LRECSamminga Sainath Rao, Sumit Mishra, Chanchal Suman2026
  36. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
  37. InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in SummarizationLanguage Resources and Evaluation Conference (LREC)Kosuke Nishida, Kyosuke Nishida, Itsumi Saito2026
  38. Integrity Shield A System for Ethical AI Use & Authorship Transparency in AssessmentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ashish Raj Shekhar, Shiven Agarwal, Priyanuj Bordoloi, et al.2026
  39. Interactive Semantic Parsing with Reinforcement Learning for Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsYurun Song, Xiangqing Shen, Jianfei Yu, et al.2026
  40. Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted ResourcesSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesVolkan Ozer, Shu Okabe, Alexander Fraser2026
  41. IPS: In-Prompt Process Supervision for Short Video Content ModerationAnnual Meeting of the Association for Computational Linguistics (ACL)Mingchao Liu, Yu Sun, Ruixiao Sun, et al.2026
  42. IQRA 2026: Interspeech Challenge on Automatic Pronunciation Assessment for Modern Standard Arabic (MSA)arXiv:2603.29087Yassine El Kheir, Amit Meghanani, Mostafa Shahin, et al.2026
  43. Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language ModelsarXiv:2603.23251Nasser A Alsadhan2026
  44. iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenshuo Wang, Boyu Cao, Nan Zhuang, et al.2026
  45. Iterative Knowledge Graph Refinement and Integration for Medical Question AnsweringFindings of the Association for Computational LinguisticsHaochen Zou, Yongli Wang2026
  46. JanusMM: A Benchmark for Self-Deprecation Understanding in Real-World Multimodal ConversationsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi Xu, Bingguang Hao, Yongyi Xiong, et al.2026
  47. JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query GenerationFindings of the Association for Computational LinguisticsFan Xu, Huixuan Zhang, Zhenliang Zhang, et al.2026
  48. KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM KnowledgeFindings of the Association for Computational LinguisticsAlex Robertson, Huizhi Liang, Mahbub Gani, et al.2026
  49. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
  50. Knowledge is Not Enough: Injecting RL Skills for Continual AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Pingzhi Tang, Yiding Wang, Muhan Zhang2026
  51. Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhonghang Yuan, Zhefan Wang, Fang Hu, et al.2026
  52. KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiao Zhang, Qianru Meng, Yongjian Chen, et al.2026
  53. Label Words as Local Task Vectors in In-Context LearningFindings of the Association for Computational LinguisticsBowen Zheng, Ming Ma, Zhongqiao Lin, et al.2026
  54. LaCo: Layer-wise Compensation for Pruned Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingen Liu, Fan Wu, Panxuyan, et al.2026
  55. Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic ToolchainsFindings of the Association for Computational LinguisticsYuqi Xiong, Chunyi Peng, Zhipeng Xu, et al.2026
  56. Language Effects in Text-to-SQL Across English and PortugueseInternational Conference on Computational Processing of PortugueseLucas Nobre, Suele Sousa, Savio Teles, et al.2026
  57. Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
  58. Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Minda Zhao, Yilun Du, Mengyu Wang2026
  59. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
  60. 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
  61. Latent-Condensed Transformer for Efficient Long Context ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zeng You, Yaofo Chen, Qiuwu Chen, et al.2026
  62. LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL QueriesFindings of the Association for Computational LinguisticsXuancheng Ren, Shijing Hu, Zhihui Lu, et al.2026
  63. LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world TasksFindings of the Association for Computational LinguisticsJiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.2026
  64. Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional CoevolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Beidan Liu, Zhengqiu Zhu, Chen Gao, et al.2026
  65. Learning Flexible Large Multimodal Models with Arbitrary Modality CombinationsFindings of the Association for Computational LinguisticsXinyu Zhao, Kangqi Ni, Jie Peng, et al.2026
  66. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026
  67. Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengxiang Zhang, Lingyuan Liu2026
  68. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
  69. Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2FormulaAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.2026
  70. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
  71. Learning Shortcut Models for Efficient Recursive ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shiv Shankar2026
  72. Learning to Ask: Multi-Decoder Fine-Tuning for Multi-Hop Visual Question Generation with External KnowledgeFindings of the Association for Computational LinguisticsArpan Phukan, Manish Gupta, Asif Ekbal2026
  73. Learning to Control Summaries with Score RankingFindings of the Association for Computational LinguisticsHongye Liu, Liang Ding, Ricardo Henao2026
  74. Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXinping Zhao, Shouzheng Huang, Yan Zhong, et al.2026
  75. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
  76. Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.2026
  77. LEDOM: Reverse Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Xunjian Yin, Sitao Cheng, Yuxi Xie, et al.2026
  78. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
  79. LEPO: Latent Reasoning Policy Optimization for Large Language ModelsFindings of the Association for Computational LinguisticsYuyan Zhou, Jiarui Yu, Hande Dong, et al.2026
  80. Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Chenyuan Zhang, Qiguang Chen, Xie Chen, et al.2026
  81. Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense RetrievalFindings of the Association for Computational LinguisticsRuiran Yan, Wen Xiong, Ze Liu, et al.2026
  82. Let the Comments Speak: A Multi-Agent Framework based on Large Language Model for Comment-Guided Code RefactoringFindings of the Association for Computational LinguisticsZixuan Wang, Wutong Yu, Deyu Zhou2026
  83. Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hengwei Liu, Haoyuan Ma, Qingqing Lyu, et al.2026
  84. Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hyosik Moon, Eldan Cohen2026
  85. LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue GenerationFindings of the Association for Computational LinguisticsYuxiao Ye, Yiming Zhang, Yiran Rex Ma, et al.2026
  86. LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call TranscriptsConference of the European Chapter of the Association for Computational Linguistics (EACL)Seyedali Mohammadi, Manas Paldhe, Amit Chhabra, et al.2026
  87. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge PointsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuemiao Zhang, Can Ren, Chengying Tu, et al.2026
  88. LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape ElevationFindings of the Association for Computational LinguisticsJin Zhong, Jinglin Liang, Tongtong Yang, et al.2026
  89. LLM as a Morphological Disambiguator for Belarusian: A Preliminary StudySIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesVladislav Poritski, Oksana Volchek, Ilia Afanasev2026
  90. LLM-as-Scheduler: Agentic Workflow Dynamic SchedulingAnnual Meeting of the Association for Computational Linguistics (ACL)Dawei Xiang, Kexin Chu, Wenyan Xu, et al.2026
  91. LLM-Based Financial Sentiment Analysis in Arabic: Evidence from Saudi MarketsWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksMona H. Albaqawi, Eman M. Albalkhi, Joud A. Albaiti, et al.2026
  92. LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex DatabasesFindings of the Association for Computational LinguisticsZijian Tang, Ying Zhang, Sibo Cai, et al.2026
  93. LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text ClusteringWorkshop on Towards Knowledgeable Foundation ModelsYuanjie Zhu, Liangwei Yang, Ke Xu, et al.2026
  94. LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Zhang, Dongxia Wang, Yi Liu, et al.2026
  95. LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence CheckingFindings of the Association for Computational LinguisticsNeeva Oza, Ishaan Govil, Parul Gupta, et al.2026
  96. LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph ExtractionConference of the European Chapter of the Association for Computational Linguistics (EACL)Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, et al.2026
  97. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.2026
  98. LLMSurgeon: Diagnosing Data Mixture of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, et al.2026
  99. Localized Low-Rank Adaptation within Clustered Parameter SubspacesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xiong, Yihe Liu, Xianming Hu, et al.2026
  100. Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-JudgmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Mi, Qiang Sheng, Shaofei Wang, et al.2026

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