Hyeonseok Moon
Korea University. NLP&AI Lab.
Education
- 2024.02. - 2026.02(expected) Ph.D candidate in Computer Science
at Korea University, South Korea - 2015.03. - 2021.02. B.A Degree of Science in Mathematics
at Korea University, South Korea - 2015.03. - 2021.02. B.A Degree of Science in Artificial Intelligence
at Korea University, South Korea
Research Interest
- Language Resource and Evaluation
- Large Language Model
- Model Evaluation
- Data Management and Engineering
- Language Generation
selected publications
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Metric Calculating Benchmark: Complicate Instruction Following Benchmark for Large Language ModelsIn The 2025 Conference on Empirical Methods in Natural Language Processing, 2025 -
LimaCost: Data Valuation for Instruction Tuning of Large Language ModelsIn Findings of the Association for Computational Linguistics: EMNLP 2025, 2025 -
The Impact of Negated Text on Hallucination with Large Language ModelsIn The 2025 Conference on Empirical Methods in Natural Language Processing, 2025 -
Call for Rigor in Reporting Quality of Instruction Tuning DataIn Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025 -
Cross-Lingual Optimization for Language Transfer in Large Language ModelsIn Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025 -
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual TransferIn Findings of the Association for Computational Linguistics: ACL 2025, Jul 2025 -
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language ModelsIn Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025 -
MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation EvaluationIn Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025 -
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language ModelsIn Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025 -
Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair GenerationIn Findings of the Association for Computational Linguistics: EACL 2024, Mar 2024 -
CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme IngredientsIn The 2023 Conference on Empirical Methods in Natural Language Processing, Mar 2023 -
Improving formality-sensitive machine translation using data-centric approaches and prompt engineeringIn Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), Mar 2023 -
Doubts on the reliability of parallel corpus filteringExpert Systems with Applications, Jul 2023