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Who cites Tong Yu

490 citations of their works from 488 papers of our library (of the 149,439 whose bibliographies we read) · 114 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Tong Yu

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  1. Hierarchical Text-Conditional Image Generation with CLIP LatentsarXiv:2204.06125Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 · 2,713 citations
  2. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingarXiv:2205.11487Chitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,533 citations
  3. High-Resolution Image Synthesis with Latent Diffusion ModelsarXiv:2112.10752Robin Rombach, Andreas Blattmann, Dominik Lorenz, et al.2021 · 1,996 citations
  4. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  5. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  6. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 273 citations
  7. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  8. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  9. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  10. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the WildarXiv:2406.04770Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.2024 · 105 citations
  11. Towards Measuring and Modeling “Culture” in LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.2024 · 102 citations
  12. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J Ryan, Alan Ritter, et al.2024 · 95 citations
  13. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 86 citations
  14. Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningarXiv:2410.14211Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.2024 · 80 citations
  15. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
  16. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoying Zhang, Baolin Peng, Ye Tian, et al.2024 · 69 citations
  17. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
  18. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
  19. The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce HarmConference on Empirical Methods in Natural Language Processing (EMNLP)Aakanksha, Arash Ahmadian, Beyza Ermis, et al.2024 · 49 citations
  20. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Tan, Jun Yan, I-Hung Hsu, et al.2025 · 46 citations
  21. Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human PerceptionInternational Conference on Computational Linguistics (COLING)Luyang Lin, Lingzhi Wang, Jinsong Guo, et al.2025 · 44 citations
  22. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  23. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
  24. LLMs + Persona-Plug = Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongnan Liu, Yutao Zhu, Shuting Wang, et al.2025 · 31 citations
  25. Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationInternational Conference on Computational Linguistics (COLING)Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.2025 · 30 citations
  26. Sub-Character Tokenization for Chinese Pretrained Language ModelsTransactions of the Association for Computational Linguistics (TACL)Chenglei Si, Zhengyan Zhang, Yingfa Chen, et al.2023 · 29 citations
  27. Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public OpinionsAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Erfan Jahanparast, Suhong Moon, et al.2025 · 28 citations
  28. MultiPICo: Multilingual Perspectivist Irony CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Silvia Casola, Simona Frenda, Soda Marem Lo, et al.2024 · 28 citations
  29. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
  30. From Selection to Generation: A Survey of LLM-based Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.2025 · 22 citations
  31. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
  32. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
  33. BasqBBQ: A QA Benchmark for Assessing Social Biases in LLMs for Basque, a Low-Resource LanguageInternational Conference on Computational Linguistics (COLING)Muitze Zulaika, Xabier Saralegi2025 · 15 citations
  34. On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic PhenomenaConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tarek Naous, Wei Xu2025 · 15 citations
  35. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
  36. Personalized Text Generation with Contrastive Activation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghao Zhang, Yuting Liu, Wenjie Wang, et al.2025 · 13 citations
  37. from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
  38. Latent Inter-User Difference Modeling for LLM PersonalizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, et al.2025 · 12 citations
  39. Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User PersonasAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.2025 · 12 citations
  40. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Yuming Yang, Wantong Zhao, Caishuang Huang, et al.2025 · 11 citations
  41. Grounding Multilingual Multimodal LLMs With Cultural KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP)Jean De Dieu Nyandwi, Yueqi Song, Simran Khanuja, et al.2025 · 11 citations
  42. WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gagan Mundada, Yash Vishe, Amit Namburi, et al.2025 · 10 citations
  43. CIC-NLP at GenAI Detection Task 1: Leveraging DistilBERT for Detecting Machine-Generated Text in English1stWorkshop on GenAI Content Detection (GenAIDetect)Tolulope Olalekan Abiola, Tewodros Achamaleh Bizuneh, Oluwatobi Joseph Abiola, et al.2025 · 9 citations
  44. Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer ReviewsFindings of the Association for Computational LinguisticsSai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, et al.2026 · 8 citations
  45. AI use in American newspapers is widespread, uneven, and rarely disclosedAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Destiny Akinode, et al.2026 · 7 citations
  46. A Study of LLMs' Preferences for Libraries and Programming LanguagesFindings of the Association for Computational LinguisticsLukas Twist, Mark Harman, Don Syme, et al.2026 · 5 citations
  47. Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation FrameworkTransactions of the Association for Computational Linguistics (TACL)Nils Dycke, Iryna Gurevych2026 · 5 citations
  48. Blind Spot Navigation in Large Language Model Reasoning with Thought Space ExplorerFindings of the Association for Computational LinguisticsJinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, et al.2026 · 3 citations
  49. Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)David Guzman Piedrahita, Irene Strauss, Rada Mihalcea, et al.2026 · 3 citations
  50. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesLanguage Resources and Evaluation Conference (LREC)Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
  51. How Quantization Shapes Bias in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.2026 · 3 citations
  52. From Belief Entrenchment to Robust Reasoning in LLM AgentsTransactions of the Association for Computational Linguistics (TACL)Jihwan Oh, Minchan Jeong, Jongwoo Ko, et al.2026 · 2 citations
  53. Instant Personalized Large Language Model Adaptation via HypernetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, et al.2026 · 2 citations
  54. Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Shen, Ting Ying, Jiajie Lu, et al.2026 · 2 citations
  55. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation FrameworkFindings of the Association for Computational LinguisticsJiaqi Weng, Han Zheng, Hanyu Zhang, et al.2026 · 2 citations
  56. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
  57. Aligned Probing: Relating Toxic Behavior and Model InternalsTransactions of the Association for Computational Linguistics (TACL)Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.2026 · 1 citation
  58. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsYingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.2026 · 1 citation
  59. CrowS-Pairs-NL: A Benchmark to Evaluate Dutch Stereotype Bias in LLMsWorkshop on Stereotypes Across Cultures in Language TechnologiesJens van der Weide, Dong Nguyen, Marianne Schaaphok, et al.2026 · 1 citation
  60. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesLanguage Resources and Evaluation Conference (LREC)Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
  61. PRISP: Privacy-Safe Few-Shot Personalization via Lightweight AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Junho Park, Dohoon Kim, Taesup Moon2026 · 1 citation
  62. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
  63. Reassessing Active Learning Adoption in Contemporary NLP: A Community SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Julia Romberg, Christopher Schröder, Julius Gonsior, et al.2026 · 1 citation
  64. ReAttn: Improving Attention-based Re-ranking via Attention Re-weightingFindings of the Association for Computational LinguisticsYuxing Tian, Fengran Mo, Weixu Zhang, et al.2026 · 1 citation
  65. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
  66. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
  67. When LLMs Annotate: Reliability Challenges in Low-Resource NLIWorkshop on Language Models for Low-Resource LanguagesSolmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana2026 · 1 citation
  68. Whose Facts Win? LLM Source Preferences under Knowledge ConflictsAnnual Meeting of the Association for Computational Linguistics (ACL)Jakob Schuster, Vagrant Gautam, Katja Markert2026 · 1 citation
  69. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation
  70. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
  71. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.2026
  72. ANCHOR: LLM-driven Subject Conditioning for Text-to-Image SynthesisFindings of the Association for Computational LinguisticsAashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee2026
  73. Are Social Biases in LLMs Consistent across Generative Tasks? A Case Study for BasqueLanguage Resources and Evaluation Conference (LREC)Muitze Zulaika, Xabier Saralegi, Julia Shershneva, et al.2026
  74. AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from ScratchLanguage Resources and Evaluation Conference (LREC)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026
  75. Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sumanth Manduru, Carlotta Domeniconi2026
  76. Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training DebiasingFindings of the Association for Computational LinguisticsFilip Trhlík, Andrew Caines, Paula Buttery2026
  77. BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy OptimizationFindings of the Association for Computational LinguisticsSaket Reddy, Ke Yang, ChengXiang Zhai2026
  78. Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual AugmentationLanguage Resources and Evaluation Conference (LREC)Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.2026
  79. Colorism in Multimodal AI: An Empirical Exploration of Socioeconomic Linguistic Bias in Text-to-Image GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Raj Gaurav Maurya, Vaibhav Shukla, Sreedath Panat2026
  80. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
  81. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
  82. Evaluating the Impact of Source Diversity for RAG in Historical ResearchLanguage Resources and Evaluation Conference (LREC)Ruhi Mahadeshwar, Andreas van Cranenburgh, Tommaso Caselli, et al.2026
  83. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
  84. Explain the Synth: Interpretable Evaluation of LLM Data SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Yang, Fan Yang, Yu Bai, et al.2026
  85. FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained EvaluationFindings of the Association for Computational LinguisticsJuhyun Oh, Nayeon Lee, Chani Jung, et al.2026
  86. From a River in Gilead to the Inference Distributions of Large Language Models: Covert Dialect Bias and Linguistic Profiling at ScaleProceedings of the AAAI/ACM Conference on AI Ethics and SocietyChowdhury Mohammad Abdullah, Rita Orji2026
  87. GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-trainingFindings of the Association for Computational LinguisticsZhongwei Xie, Ruihao Liao, Zimo Wang, et al.2026
  88. Gender Disparities in LLM-Based Intimate Partner Violence DetectionWorkshop on Natural Language Processing and Computational Social ScienceTabia Tanzin Prama, Mikaela Irene Fudolig, Abigail M. Crocker, et al.2026
  89. GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-trainingLanguage Resources and Evaluation Conference (LREC)Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.2026
  90. 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
  91. Identity-Robust Language Model Generation via Content Integrity PreservationAnnual Meeting of the Association for Computational Linguistics (ACL)Miao Zhang, Kelly Chen, Mehrab Tanjim, et al.2026
  92. Investigating Gender Stereotypes in Large Language Models via Social Determinants of HealthFindings of the Association for Computational LinguisticsTrung Hieu Ngo, Adrien Bazoge, Solen Quiniou, et al.2026
  93. JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in HebrewItay Razumenko, Arnon Sturm, Nir Grinberg2026
  94. Lexical Innovation in Business Colour Idioms: Evidence from Large Language Models in Five LanguagesWorkshop Neology and Large Language ModelsGiedre Valunaite Oleskeviciene, Ágnes Abuczki, Ganit Richter, et al.2026
  95. MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic ReasoningFindings of the Association for Computational LinguisticsJuexiang Ye, Xue Li, Yang Xinyu, et al.2026
  96. Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual TextFindings of the Association for Computational LinguisticsPiyush Singh Pasi2026
  97. 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
  98. Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language DetectionWorkshop on NLP for Languages Using Arabic ScriptAuda Elshokry, Mohammed Alhanjouri2026
  99. OrthoEdit: Principled and Stable Knowledge Editing via Orthogonal Subspace ProjectionTransactions of the Association for Computational Linguistics (TACL)Shanbao Qiao, Xuebing Liu, Akshat Gupta, et al.2026
  100. Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Liu, Hao Zhu, Xiaoyan Yang, et al.2026

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