Chani Jung
Chani Jung has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Alice Oh, Juhyun Oh, Changgeon Ko.
OpenAlex · h-index 2 · 11 works · 34 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 43 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11921
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation (2026)
When asked about sensitive topics, LLMs often give hedged, generic answers. They avoid harm but fail to address what the user actually asked. Existing evaluations judge such answers with coarse or subjective measures, so they offer little concrete guidance for fixing them. The authors propose FINEST, a fine-grained… - RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity (2026)
Role conflicts arise when obligations tied to two social roles, such as parent and employee, cannot both be met.
All works
- Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetNayeon Lee et al.2024 · 58 citations
- FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained EvaluationFindings of the Association for Computational LinguisticsJuhyun Oh, Nayeon Lee, Chani Jung, et al.2026
- RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual SensitivityFindings of the Association for Computational LinguisticsJisu Shin, Hoyun Song, Juhyun Oh, et al.2026
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Cited by
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