Hyeonseok Moon

Korea University. NLP&AI Lab.

moon2.jpg

Education

  • 2024.02. - 2026.02. Ph.D 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

  1. ACL2026-logo.png
    Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
    Jeongho Yoon, Chanhee Park, Yongchan Chun, and 2 more authors
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 2026
  2. ACL2026-logo.png
    Needlechain: Measuring intact long-context reasoning capability of large language models
    Hyeonseok Moon and Heuiseok Lim
    In Findings of the Association for Computational Linguistics: ACL 2026, 2026
  3. SIGIR2026-logo.png
    Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval
    Youngjoon Jang, Seongtae Hong, Hyeonseok Moon, and 1 more author
    In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2026
  4. ICLR2026-logo.png
    Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment
    Seongtae Hong, Youngjoon Jang, Jungseob Lee, and 2 more authors
    In The Fourteenth International Conference on Learning Representations, 2026
  5. EMNLP2025-logo.png
    Metric Calculating Benchmark: Complicate Instruction Following Benchmark for Large Language Models
    Hyeonseok Moon, Seongtae Hong, Jaehyung Seo, and 1 more author
    In The 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  6. EMNLP2025-logo.png
    LimaCost: Data Valuation for Instruction Tuning of Large Language Models
    Hyeonseok Moon, Jaehyung Seo, Seonmin Koo, and 4 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
  7. EMNLP2025-logo.png
    The Impact of Negated Text on Hallucination with Large Language Models
    Jaehyung Seo, Hyeonseok Moon, and Heuiseok Lim
    In The 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  8. ACL2025-logo.png
    Call for Rigor in Reporting Quality of Instruction Tuning Data
    Hyeonseok Moon, Jaehyung Seo, and Heuiseok Lim
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025
    DOI
  9. ACL2025-logo.png
    Cross-Lingual Optimization for Language Transfer in Large Language Models
    Jungseob Lee, Seongtae Hong, Hyeonseok Moon, and 1 more author
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025
    DOI
  10. ACL2025-logo.png
    Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer
    Seungyoon Lee, Seongtae Hong, Hyeonseok Moon, and 1 more author
    In Findings of the Association for Computational Linguistics: ACL 2025, Jul 2025
    DOI
  11. NAACL2025-logo.png
    FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
    Dahyun Jung, Seungyoon Lee, Hyeonseok Moon, and 2 more authors
    In Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
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  12. NAACL2025-logo.png
    MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
    Chanhee Park, Hyeonseok Moon, Chanjun Park, and 1 more author
    In Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
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  13. NAACL2025-logo.png
    Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
    Hyeonseok Moon, Jaehyung Seo, Seungyoon Lee, and 2 more authors
    In Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
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  14. EMNLP2024-logo.png
    Translation of Multifaceted Data without Re-Training of Machine Translation Systems
    Hyeonseok Moon, Seungyoon Lee, SeongTae Hong, and 3 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024
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  15. ACL2024-logo.png
    Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
    Jungseob Lee, Hyeonseok Moon, Seungjun Lee, and 6 more authors
    In Findings of the Association for Computational Linguistics: ACL 2024, Aug 2024
    DOI HTML
  16. EACL2024-logo.png
    Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
    Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, and 3 more authors
    In Findings of the Association for Computational Linguistics: EACL 2024, Mar 2024
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  17. EMNLP2023-logo.png
    CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
    Jaehyung Seo, Hyeonseok Moon, Jaewook Lee, and 3 more authors
    In The 2023 Conference on Empirical Methods in Natural Language Processing, Mar 2023
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  18. acl-logo.png
    Improving formality-sensitive machine translation using data-centric approaches and prompt engineering
    Seungjun Lee, Hyeonseok Moon, Chanjun Park, and 1 more author
    In Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), Mar 2023
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  19. ACL2023-logo.png
    Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
    Sugyeong Eo, Hyeonseok Moon, Jinsung Kim, and 6 more authors
    In Findings of the Association for Computational Linguistics: ACL 2023, Jul 2023
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  20. ESWA.png
    Doubts on the reliability of parallel corpus filtering
    Hyeonseok Moon, Chanjun Park, Seonmin Koo, and 8 more authors
    Expert Systems with Applications, Jul 2023
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