🧑‍🔬 Who cites Jiahui Geng

211 citations of their works from 210 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · ← Jiahui Geng

1. 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
2. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 106 citations
3. Benchmarking Vision Language Models for Cultural UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP)Shravan Nayak, Kanishk Jain, Rabiul Awal, et al.2024 · 87 citations
4. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningConference on Neural Information Processing Systems (NeurIPS)Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 74 citations
5. What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Federico Errica, Davide Sanvito, Giuseppe Siracusano, et al.2025 · 63 citations
6. LUQ: Long-text Uncertainty Quantification for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Caiqi Zhang, Fangyu Liu, Marco Basaldella, et al.2024 · 42 citations
7. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
8. People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated textAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Mohit Iyyer2025 · 33 citations
9. CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkFindings of the Association for Computational LinguisticsSara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.2025 · 22 citations
10. Can Unconfident LLM Annotations Be Used for Confident Conclusions?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kristina Gligorić, Tijana Zrnic, Cinoo Lee, et al.2025 · 19 citations
11. Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, et al.2025 · 13 citations
12. JEEM: Vision-Language Understanding in Four Arabic DialectsFindings of the Association for Computational LinguisticsKarima Kadaoui, Hanin Atwany, Hamdan Al-Ali, et al.2026 · 11 citations
13. Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhe Yang, Yichang Zhang, Yudong Wang, et al.2025 · 11 citations
14. Diffusion Models Through a Global Lens: Are They Culturally Inclusive?Annual Meeting of the Association for Computational Linguistics (ACL)Zahra Bayramli, Ayhan Suleymanzade, Na Min An, et al.2025 · 11 citations
15. 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
16. Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt StylesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxi Xia, Pedro Henrique Luz De Araujo, Klim Zaporojets, et al.2025 · 11 citations
17. Pearl: A Multimodal Culturally-Aware Arabic Instruction DatasetFindings of the Association for Computational LinguisticsFakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki, et al.2025 · 11 citations
18. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.2025 · 10 citations
19. Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations
20. DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian CultureConference on Empirical Methods in Natural Language Processing (EMNLP)Arijit Maji, Raghvendra Kumar, Akash Ghosh, et al.2025 · 9 citations
21. A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity UnderstandingLanguage Resources and Evaluation Conference (LREC)Dilara Torunoğlu-Selamet, Doğukan Arslan, Rodrigo Wilkens, et al.2026 · 8 citations
22. Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huifeng Yin, Yu Zhao, Minghao Wu, et al.2025 · 8 citations
23. Piecing It All Together: Verifying Multi-Hop Multimodal ClaimsInternational Conference on Computational Linguistics (COLING)Haoran Wang, Aman Rangapur, Xiongxiao Xu, et al.2025 · 8 citations
24. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?Annual Meeting of the Association for Computational Linguistics (ACL)Jiayu Liu, Qing Zong, Weiqi Wang, et al.2025 · 8 citations
25. Confidence Estimation for LLMs in Multi-turn InteractionsFindings of the Association for Computational LinguisticsCaiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.2026 · 7 citations
26. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
27. OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QAarXiv:2510.06371Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.2025 · 6 citations
28. LLM Alignment for the Arabs: A Homogenous Culture or Diverse OnesWorkshop on Cross-Cultural Considerations in NLPAmr Keleg2025 · 5 citations
29. Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Zeng, Chenyang Lyu, Sinuo Liu, et al.2025 · 5 citations
30. MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Huang, Jiaheng Liu, Yancheng He, et al.2025 · 4 citations
31. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zirui Song, Qian Jiang, Mingxuan Cui, et al.2026 · 3 citations
32. Beyond “I Don't Know”: Evaluating LLM Self-Awareness in Discriminating Data and Model UncertaintyAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Ren, Ante Wang, Yunghwei Lai, et al.2026 · 3 citations
33. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
34. AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanran Luo, Wentao Qiu, Wanru Zhao, et al.2026 · 2 citations
35. BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, et al.2026 · 2 citations
36. Comparing Human and Large Language Model Interpretation of Implicit InformationFindings of the Association for Computational LinguisticsAntonio De Santis, Tommaso Bonetti, Andrea Tocchetti, et al.2026 · 2 citations
37. Finding Culture-Sensitive Neurons in Vision-Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xiutian Zhao, Rochelle Choenni, Rohit Saxena, et al.2026 · 2 citations
38. Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural FeaturesConference of the European Chapter of the Association for Computational Linguistics (EACL)Alberto Testoni, Iacer Calixto2026 · 2 citations
39. Once Correct, Still Wrong: Counterfactual Hallucination in Multilingual Vision-Language ModelsFindings of the Association for Computational LinguisticsBasel Mousi, Fahim Dalvi, Shammur Absar Chowdhury, et al.2026 · 2 citations
40. POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Xu, Liangyu Chen, Liang Zhang, et al.2026 · 2 citations
41. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
42. BaseCal: Unsupervised Confidence Calibration via Base Model SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Wanli Yang, Junwei Zhang, et al.2026 · 1 citation
43. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
44. Frankentext: Stitching random text fragments into long-form narrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Chau Minh Pham, Jenna Russell, Dzung Pham, et al.2026 · 1 citation
45. From Attack Surfaces to Actual Operations: A Survey of Modern LLM JailbreaksFindings of the Association for Computational LinguisticsRuikang Zhou, Changsheng Sun, Mark Huasong Meng2026 · 1 citation
46. From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language ModelsFindings of the Association for Computational LinguisticsJiaxin Zhang, Wendi Cui, Zhuohang Li, et al.2026 · 1 citation
47. Afri-MCQA: Multimodal Cultural Question Answering for African LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva, et al.2026
48. AmharicStoryQA: A Multicultural Story Question Answering Benchmark in AmharicarXiv:2602.02774Israel Abebe Azime, Abenezer Kebede Angamo, Hana Mekonen Tamiru, et al.2026
49. Calibration-Aware Policy Optimization for Reasoning LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xingzhou Lou, Meiqi Wu, et al.2026
50. Diagnosing LLMs via Information Spectrum Analysis: Tail Behavior and the Effects of Side InformationFindings of the Association for Computational LinguisticsYuuki Tachioka2026
51. Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order PerturbationsLanguage Resources and Evaluation Conference (LREC)Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.2026
52. Evaluating Perspectival Biases in Cross-Modal RetrievalFindings of the Association for Computational LinguisticsTeerapol Saengsukhiran, Peerawat Chomphooyod, Narabodee Rodjananant, et al.2026
53. Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for ClassificationFindings of the Association for Computational LinguisticsElena Merdjanovska, Omar Zaidan, Andreas Rücklé2026
54. Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-TuningarXiv:2608.18361Mena Attia, Mona Diab, Thamar Solorio2026
55. ImageEval 2026: Culturally Grounded Arabic Multimodal EvaluationarXiv:2608.30475Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti, et al.2026
56. Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QALanguage Resources and Evaluation Conference (LREC)Renhao Pei, Siyao Peng, Verena Blaschke, et al.2026
57. Mapping the Course for Prompt-based Structured PredictionConference of the European Chapter of the Association for Computational Linguistics (EACL)Matt Pauk, Maria Leonor Pacheco2026
58. Probing and Steering Uncertainty in Biomedical Language Models: Representational Structure and Behavioral LimitsBioNLPDebmalya Pal2026
59. Teaching Language Models to Forecast Research Success Through Comparative Idea EvaluationFindings of the Association for Computational LinguisticsSrujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan2026

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