🔗 Who cites «FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models»

52 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models»

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 · 268 citations
2. AceGPT, Localizing Large Language Models in ArabicConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Huang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
3. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 104 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. 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 · 89 citations
6. Culturally Aware Natural Language InferenceFindings of the Association for Computational LinguisticsJing Huang, Diyi Yang2023 · 61 citations
7. Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyi Hu, Maria Maistro, Daniel Hershcovich2024 · 16 citations

45 more papers of our library cite it; they have no page here yet.

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