Haneul Yoo
Haneul Yoo has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Bias, fairness & safety, Question answering; often with Alice Oh, Hwaran Lee, Faiz Ghifari Haznitrama.
OpenAlex · ORCID · Wikidata · h-index 5 · 17 works · 122 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 95 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #6748
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 5Research subjects and languages the work is about.Bias, fairness & safety · 2 worksEvaluation & benchmarks · 1 workQuestion answering · 1 workLanguage models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 work
Works by year
2020s
Papers
- KoBBQ: Korean Bias Benchmark for Question Answering (2024 · 78 citations)
Social bias benchmarks such as BBQ are built around US stereotypes, and simply machine-translating them misses how bias works in other societies. - Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding (2025 · 26 citations)
Multilingual LLMs tend to be less safe in non-English languages, but no one had tested whether code-switching, the natural habit of mixing languages within one utterance, can also break safety guardrails. - OLA: Output Language Alignment in Code-Switched LLM Interactions (2026 · 1 citation)
Multilingual users often mix languages in prompts without saying which language they want the answer in. Humans infer this easily, but LLMs often reply in the wrong language. The authors introduce OLA, a Korean–English benchmark with two settings:
All works
- KoBBQ: Korean Bias Benchmark for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Jiho Jin, Jiseon Kim, Nayeon Lee, et al.2024 · 78 citations
- Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haneul Yoo, Yongjin Yang, Hwaran Lee2025 · 26 citations
- Translating Hanja Historical Documents to Contemporary Korean and English ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetJuhee Son et al.2022 · 13 citations
- HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja ↗arXiv (Cornell University) · no summary yetSong, Seyoung et al.2025 · 3 citations
- Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs ↗arXiv (Cornell University) · no summary yetHaneul Yoo et al.2025 · 2 citations
- OLA: Output Language Alignment in Code-Switched LLM InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.2026 · 1 citation
- Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetSeyoung Song et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2024
- Findings of the Association for Computational Linguistics: EMNLP 2022
- Proceedings of the Fifteenth Language Resources and Evaluation Conference
Cited by
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