🧑‍🔬 Who cites Thinh Hung Truong

67 citations of their works from 62 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Thinh Hung Truong

1. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
2. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFindings of the Association for Computational LinguisticsFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 117 citations
3. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and SayingsarXiv:2309.08591Chen Cecilia Liu, Fajri Koto, Timothy Baldwin, et al.2023 · 78 citations
4. Language models are not naysayers: An analysis of language models on negation benchmarksJoint Conference on Lexical and Computational Semantics (*SEM)Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, et al.2023 · 78 citations
5. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
6. Evaluating Numeracy of Language Models as a Natural Language Inference TaskFindings of the Association for Computational LinguisticsRahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.2025 · 4 citations
7. Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded DisjunctionsarXiv:2405.05776Polina Tsvilodub, Paul Marty, Sonia Ramotowska, et al.2024 · 3 citations
8. Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation UnderstandingFindings of the Association for Computational LinguisticsYeonkyoung So, Gyuseong Lee, Sungmok Jung, et al.2026 · 2 citations
9. Explainable Semantic Textual Similarity via Dissimilar Span DetectionLanguage Resources and Evaluation Conference (LREC)Diego Miguel Lozano, Daryna Dementieva, Alexander Fraser2026 · 1 citation
10. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness EvaluationFindings of the Association for Computational LinguisticsYulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra, et al.2026 · 1 citation
11. The Hrunting of AI: Where and How to Improve English Dialectal FairnessarXiv:2603.15187Wei Li, Adrian de Wynter2026 · 1 citation
12. As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative LanguageTransactions of the Association for Computational Linguistics (TACL)Jasmine Owers, Edwin Simpson, Martha Lewis2026
13. JSTS-Neg: Japanese Semantic Textual Similarity Dataset for Evaluating Negation Understanding AbilityLanguage Resources and Evaluation Conference (LREC)Reiko Yuasa, Yoshihide Kato, Shigeki Matsubara2026
14. NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language InferenceLanguage Resources and Evaluation Conference (LREC)Matheus Westhelle, Viviane Moreira2026
15. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language ModelsFindings of the Association for Computational LinguisticsZiyao Tang, Pengkun Jiao, Bin Zhu, et al.2026
16. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
17. Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed RefinementFindings of the Association for Computational LinguisticsMidan Shim, Seokju Hwang, KaeHyun Um, et al.2026
18. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024

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