🧑‍🔬 Who cites Ziquan Liu

76 citations of their works from 76 papers of our library (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · ← Ziquan Liu

1. 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
2. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 182 citations
3. CultureLLM: Incorporating Cultural Differences into Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Mengzhou Chen, Jindong Wang, et al.2024 · 162 citations
4. 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
5. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, et al.2024 · 96 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.2024 · 95 citations
7. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
8. CulturePark: Boosting Cross-cultural Understanding in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Damien Teney, Linyi Yang, et al.2024 · 70 citations
9. NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.2025 · 46 citations
10. Benchmarking Distributional Alignment of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto2025 · 35 citations
11. Culture is Not Trivia: Sociocultural Theory for Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Naitian Zhou, David Bamman, Isaac L. Bleaman2025 · 33 citations
12. CIDAR: Culturally Relevant Instruction Dataset For ArabicFindings of the Association for Computational LinguisticsZaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.2024 · 30 citations
13. Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image ModelsTransactions of the Association for Computational Linguistics (TACL)Mor Ventura, Eyal Ben-David, Anna Korhonen, et al.2025 · 25 citations
14. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
15. 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
16. Towards Inclusive Arabic LLMs: A Culturally Aligned Benchmark in Arabic Large Language Model EvaluationWorkshop on Language Models for Low-Resource LanguagesOmer Nacar, Serry Taiseer Sibaee, Samar Ahmed, et al.2025 · 14 citations
17. BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Miao, Yixin Liu, Yili Wang, et al.2026 · 10 citations
18. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
19. Confidence Estimation for LLMs in Multi-turn InteractionsFindings of the Association for Computational LinguisticsCaiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.2026 · 7 citations
20. NovBench: Evaluating Large Language Models on Academic Paper Novelty AssessmentFindings of the Association for Computational LinguisticsWenqing Wu, Yi Zhao, Yuzhuo Wang, et al.2026 · 4 citations
21. Confidence Should Be Calibrated More Than One Turn DeepAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, et al.2026 · 3 citations
22. Do Large Language Models Reflect Demographic Pluralism in Safety?Findings of the Association for Computational LinguisticsUsman Naseem, Gautam Siddharth Kashyap, Sushant Kumar Ray, et al.2026 · 3 citations
23. Deciphering Cultural Representations in Large Language Models via Sparse AutoencodersFindings of the Association for Computational LinguisticsChenye Zou, Difan Jiao, Lijie Hu2026 · 1 citation
24. A Game-Theoretic Negotiation Framework for Cross-Cultural ConsensusAnnual Meeting of the Association for Computational Linguistics (ACL)Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, et al.2026
25. Calibrated to Whom? Persona and Language Effects on Cultural Values in JEVarXiv:2609.36399Bushra Asseri, Abdulaziz Asseri2026
26. Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, et al.2026
27. Distributional Alignment for Large Language Models under Domain ShiftFindings of the Association for Computational LinguisticsViet Thanh Pham, Lizhen Qu, Zhuang Li, et al.2026
28. GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Ziquan Liu, Ioannis Patras2026
29. InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Wan, Xingrun Chen, Kai-Wei Chang2026
30. Mitigating Cultural Bias in LLMs via Multi-Agent Cultural DebateFindings of the Association for Computational LinguisticsQian Tan, Lei Jiang, Yuting Zeng, et al.2026
31. MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and RegionsFindings of the Association for Computational LinguisticsQuulgan Minggad, Xiao Zinan, Yuan Sun2026
32. The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language ModelsarXiv:2602.01161Reem I. Masoud, Chen Feng, Shunta Asano, et al.2026
33. “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

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