🧑‍🔬 Who cites Yu Ying Chiu

66 citations of their works from 65 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Yu Ying Chiu

1. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
2. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
3. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
4. Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
5. Do Construction Distributions Shape Formal Language Learning In German BabyLMs?Conference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Daniel Duran, Sina Zarrieß2025 · 13 citations
6. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2026 · 11 citations
7. Can Language Models Learn Typologically Implausible Languages?Transactions of the Association for Computational Linguistics (TACL)Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, et al.2026 · 10 citations
8. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
9. 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
10. Manipulating language models' training data to study syntactic constraint learning: the case of English passivizationarXiv:2407.04593Cara Su-Yi Leong, Tal Linzen2024 · 8 citations
11. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations
12. The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AIConference of the European Chapter of the Association for Computational Linguistics (EACL)Alan Saji, Raj Dabre, Anoop Kunchukuttan, et al.2026 · 3 citations
13. 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
14. Gained in Translation: Privileged Pairwise Judges Enhance Multilingual ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lintang Sutawika, Gokul Swamy, Steven Wu, et al.2026 · 2 citations
15. Language of Thought Shapes Output Diversity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoyang Xu, Wenxuan Zhang2026 · 2 citations
16. Deciphering Cultural Representations in Large Language Models via Sparse AutoencodersFindings of the Association for Computational LinguisticsChenye Zou, Difan Jiao, Lijie Hu2026 · 1 citation
17. Function Words as Statistical Cues for Language LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiulin Yang, Heidi R. Getz, Ethan Gotlieb Wilcox2026 · 1 citation
18. No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural UnderstandingTransactions of the Association for Computational Linguistics (TACL)Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, et al.2026 · 1 citation
19. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesConference on Computational Natural Language Learning (CoNLL)Zhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
20. x1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citation
21. CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge RepresentationArabic Natural Language Processing Conference (ArabicNLP)Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan, et al.2025 · 1 citation
22. Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networksClaire Hobbs, R. Thomas McCoy2026
23. Common to Whom? Regional Cultural Commonsense and LLM Bias in IndiaAnnual Meeting of the Association for Computational Linguistics (ACL)Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.2026
24. Distributional Alignment for Large Language Models under Domain ShiftFindings of the Association for Computational LinguisticsViet Thanh Pham, Lizhen Qu, Zhuang Li, et al.2026
25. Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-TuningarXiv:2608.18361Mena Attia, Mona Diab, Thamar Solorio2026
26. Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
27. SDUs DAISY: A Benchmark for Danish CulturearXiv:2601.19930Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.2026
28. UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote PredictionWorkshop on Multilingual Multicultural EvaluationAyush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni2026

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