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Alice Oh

Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore
2024 · Shafayat, Sheikh, Kim, Eunsu, et al. · arXiv (Cornell University) · 2
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BLUCK: A Benchmark Dataset for Bengali Linguistic Understanding and Cultural Knowledge
2025 · Daeen Kabir, Minhajur Rahman Chowdhury Mahim, et al. · Workshop on Bangla Language Processing (BLP) · 1
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North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge
2026 · Park, Kiwoong, Song, Seyoung, et al. · arXiv (Cornell University)
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The Role of Fine-grained Harm Signals in LLM Safety
2026 · Park, Soyeon, Jeong, Seogyeong, et al. · arXiv (Cornell University)
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Human-AI Co-Creativity: Advances, Opportunities, and Challenges
2026 · Singla, Adish, Ravichander, Abhilasha, et al. · arXiv (Cornell University)
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EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers
2026 · Park, Junyeong, Han, Jieun, et al. · arXiv (Cornell University)
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Student-ChatGPT Interaction Visible: Designing a Teacher Dashboard for EFL Writing Education
2026 · Kim, Minsun, Kim, Seon Gyeom, et al. · arXiv (Cornell University)
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Cross-National Information Attacks: A Two-Decade Analysis of Troll Behavior in Korea
2026 · Kim, Jaehong, Kim, Hyeonseung, et al. · arXiv (Cornell University)
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JuICE: A Benchmark for Evaluating LLM-Judge in Identifying Cultural Errors
2026 · Jin, Jiho, Myung, Junho, et al. · arXiv (Cornell University)
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Two-Decade South Korean Naver News Comment Dataset for Troll Detection
2026 · Kim, Jaehong, Kim, Hyeonseung, et al. · Zenodo (CERN European Organization for Nuclear Research)
SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
2026 · Ousidhoum, Nedjma, Myung, Junho, et al. · arXiv (Cornell University)
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Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
2026 · Kim, Shubin, Son, Yejin, et al. · arXiv (Cornell University)
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FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation
2026 · Oh, Juhyun, Lee, Nayeon, et al. · arXiv (Cornell University)
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MentalBench: A DSM-Grounded Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models
2026 · Song, Hoyun, Kang, Migyeong, et al. · arXiv (Cornell University)
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Solar Open Technical Report
2026 · Park, Sungrae, Kim, Sanghoon, et al. · arXiv (Cornell University)
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FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation
2026 · Juhyun Oh, Nayeon Lee, et al. · Findings of the Association for Computational Linguistics: EACL
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Not What, But How: A Communicative Audit of LLM Response Framing
2026 · Siddhesh Milind Pawar, Sarah Masud, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs
2026 · Seogyeong Jeong, Jaehui Hwang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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KORMo: Korean Open Reasoning Model for Everyone
2025 · Kim, Minjun, Lim, Hyeonseok, et al. · arXiv (Cornell University)
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CulTrace: Tracing Internal Cultural Reasoning in Large Language Models
2025 · Yu, Haeun, Arora, Arnav, et al. · arXiv (Cornell University)
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Uncovering Factor Level Preferences to Improve Human-Model Alignment
2024 · Oh, Juhyun, Kim, Eunsu, et al. · arXiv (Cornell University)
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Works count: 21
Citation count: 3
H-index: 1
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