🔗 Who cites «KoBBQ: Korean Bias Benchmark for Question Answering»

61 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «KoBBQ: Korean Bias Benchmark for Question Answering»

1. 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
2. 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
3. CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language TechnologiesFindings of the Association for Computational LinguisticsWeiyan Shi, Ryan Li, Yutong Zhang, et al.2024 · 88 citations
4. KMMLU: Measuring Massive Multitask Language Understanding in KoreanConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guijin Son, Hanwool Lee, Sungdong Kim, et al.2025 · 72 citations
5. Are Social Biases in LLMs Consistent across Generative Tasks? A Case Study for BasqueLanguage Resources and Evaluation Conference (LREC)Muitze Zulaika, Xabier Saralegi, Julia Shershneva, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/jin-2024-kobbq-korean-bias-benchmark-question/cited-by/