🧑‍🔬 Who cites Sungchul Kim

424 citations of their works from 423 papers of our library (of the 149,439 whose bibliographies we read) · 93 with a page here, the most cited first · ← Sungchul Kim

1. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
2. 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
3. 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
4. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
5. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
6. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
7. 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
8. 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
9. 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
10. 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
11. 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
12. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
13. 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
14. 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
15. 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
16. 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
17. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
18. LLMs + Persona-Plug = Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongnan Liu, Yutao Zhu, Shuting Wang, et al.2025 · 31 citations
19. 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
20. 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
21. 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
22. 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
23. 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
24. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
56. When LLMs Annotate: Reliability Challenges in Low-Resource NLIWorkshop on Language Models for Low-Resource LanguagesSolmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana2026 · 1 citation
57. 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
58. 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
59. 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
60. AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from ScratchLanguage Resources and Evaluation Conference (LREC)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
68. 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
69. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
70. 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
71. 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
72. 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
73. 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
74. 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
75. 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
76. JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in HebrewItay Razumenko, Arnon Sturm, Nir Grinberg2026
77. 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
78. 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
79. Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language DetectionWorkshop on NLP for Languages Using Arabic ScriptAuda Elshokry, Mohammed Alhanjouri2026
80. 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
81. 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
82. Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social GroupsFindings of the Association for Computational LinguisticsGeng Liu, Li Feng, Junjie Mu, et al.2026
83. Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arash Asgari, Huan Wu, Amirreza Naziri, et al.2026
84. QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion TaskFindings of the Association for Computational LinguisticsMae Sosto, Delfina S. Martinez Pandiani, Laura Hollink2026
85. Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational PerspectivesFindings of the Association for Computational LinguisticsKaustubh Shivshankar Shejole, Pushpak Bhattacharyya2026
86. Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-TuningFindings of the Association for Computational LinguisticsGanghao Liu, Qin Zhou, Zhe Wang, et al.2026
87. Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge ExtractionConference of the European Chapter of the Association for Computational Linguistics (EACL)Luiz Do Valle Miranda, Grzegorz J. Nalepa2026
88. Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated NeuronsLanguage Resources and Evaluation Conference (LREC)Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago2026
89. TryggLLM: A Benchmark for Evaluating LLM Safety in NorwegianLanguage Resources and Evaluation Conference (LREC)Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen2026
90. Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral VignettesLanguage Resources and Evaluation Conference (LREC)Quintin Myers, Yanjun Gao2026
91. WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ IdentitiesarXiv:2609.02651Jiska Beuk, Gerasimos Spanakis2026
92. “Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across LanguagesWorkshop on Cross-Cultural Considerations in NLPPavithra P M Nair, Gilad Gressel, Krishnashree Achuthan2026
93. “Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal RecommendationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuefeng Wei, Xuan Zhou, Yusuke Sakai, et al.2026

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