Publications

2026

  1. EMNLP
    SemBridge: Language Transfer in Sparse Encoders via Multilingual Semantic Bridges
    Seongtae Hong, Youngjoon Jang, Jia-Heui Ju, Hyeonseok Moon, and Heuiseok Lim
    Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, Oct 2026
  2. EMNLP
    SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval
    Youngjoon Jang, Seongtae Hong, Hyeonseok Moon, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: EMNLP 2026, Oct 2026
  3. EMNLP
    DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models
    Jungseob Lee, Seongtae Hong, Seungjun Lee, Jaehyung Seo, Junyoung Son, Sugyeong Eo, Chanjun Park, Hyeongju Park, Hyeonseok Moon, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: EMNLP 2026, Oct 2026
  4. KBS
    SERA: Self-referential assessment framework for bidirectional generative commonsense reasoning
    Jaehyung Seo, Hyeonseok Moon, Yoonna Jang, and Heuiseok Lim
    Knowledge-Based Systems, 2026
    DOI
  5. ACL
    Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
    Jeongho Yoon, Chanhee Park, Yongchan Chun, Hyeonseok Moon, and Heuiseok Lim
    Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2026
    DOI
  6. ACL Findings
    NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models
    Hyeonseok Moon and Heuiseok Lim
    Findings of the Association for Computational Linguistics: ACL 2026, Jul 2026
    DOI
  7. SIGIR
    Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation
    Youngjoon Jang, Seongtae Hong, Hyeonseok Moon, and Heuiseok Lim
    Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2026
    DOI
  8. ICLR
    Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment
    Seongtae Hong, Youngjoon Jang, Jungseob Lee, Hyeonseok Moon, and Heuiseok Lim
    The Fourteenth International Conference on Learning Representations, 2026
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2025

  1. EMNLP
    Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models
    Hyeonseok Moon, Seongtae Hong, Jaehyung Seo, and Heuiseok Lim
    Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Nov 2025
    DOI
  2. EMNLP Findings
    LimaCost: Data Valuation for Instruction Tuning of Large Language Models
    Hyeonseok Moon, Jaehyung Seo, Seonmin Koo, Jinsung Kim, Young-kyoung Ham, Jiwon Moon, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: EMNLP 2025, Nov 2025
    DOI
  3. EMNLP
    The Impact of Negated Text on Hallucination with Large Language Models
    Jaehyung Seo, Hyeonseok Moon, and Heuiseok Lim
    Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Nov 2025
    DOI
  4. ACL
    Call for Rigor in Reporting Quality of Instruction Tuning Data
    Hyeonseok Moon, Jaehyung Seo, and Heuiseok Lim
    Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025
    DOI
  5. ACL
    Cross-Lingual Optimization for Language Transfer in Large Language Models
    Jungseob Lee, Seongtae Hong, Hyeonseok Moon, and Heuiseok Lim
    Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025
    DOI
  6. ACL Findings
    Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer
    Seungyoon Lee, Seongtae Hong, Hyeonseok Moon, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: ACL 2025, Jul 2025
    DOI
  7. NAACL Findings
    FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
    Dahyun Jung, Seungyoon Lee, Hyeonseok Moon, Chanjun Park, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
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  8. NAACL Findings
    MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
    Chanhee Park, Hyeonseok Moon, Chanjun Park, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
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  9. NAACL Findings
    Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
    Hyeonseok Moon, Jaehyung Seo, Seungyoon Lee, Chanjun Park, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: NAACL 2025, Apr 2025
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  10. COLING
    MIGRATE: Cross-Lingual Adaptation of Domain-Specific LLMs through Code-Switching and Embedding Transfer
    Seongtae Hong, Seungyoon Lee, Hyeonseok Moon, and Heuiseok Lim
    Proceedings of the 31st International Conference on Computational Linguistics, Jan 2025
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2024

  1. LREC-COLING
    Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean
    Seungyoon Lee, Chanjun Park, DaHyun Jung, Hyeonseok Moon, Jaehyung Seo, Sugyeong Eo, and Heuiseok Lim
    Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024
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  2. LREC-COLING
    Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation
    Sugyeong Eo, Jungwoo Lim, Chanjun Park, DaHyun Jung, Seonmin Koo, Hyeonseok Moon, Jaehyung Seo, and Heuiseok Lim
    Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024
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  3. EMNLP Findings
    Translation of Multifaceted Data without Re-Training of Machine Translation Systems
    Hyeonseok Moon, Seungyoon Lee, SeongTae Hong, Seungjun Lee, Chanjun Park, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024
    DOI HTML
  4. ACL Findings
    Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
    Jungseob Lee, Hyeonseok Moon, Seungjun Lee, Chanjun Park, Sugyeong Eo, Hyunwoong Ko, Jaehyung Seo, Seungyoon Lee, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: ACL 2024, Aug 2024
    DOI HTML
  5. EACL Findings
    Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
    Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, Jaehyung Seo, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: EACL 2024, Mar 2024
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  6. EACL Findings
    Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing
    Chanjun Park, Jaehyung Seo, Seolhwa Lee, Junyoung Son, Hyeonseok Moon, Sugyeong Eo, Chanhee Lee, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: EACL 2024, Mar 2024
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  7. IEEE
    Exploiting hanja-based resources in processing korean historic documents written by common literati
    Hyeonseok Moon, Myunghoon Kang, Jaehyung Seo, Sugyeong Eo, Chanjun Park, Yeongwook Yang, and Heuiseok Lim
    IEEE Access, 2024

2023

  1. EMNLP
    KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing
    Seonmin Koo, Chanjun Park, Jinsung Kim, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, and Heui-Seok Lim
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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  2. EMNLP
    Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations
    Yoonna Jang, Suhyune Son, Jeongwoo Lee, Junyoung Son, Yuna Hur, Jungwoo Lim, Hyeonseok Moon, Kisu Yang, and Heui-Seok Lim
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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  3. EMNLP
    CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
    Jaehyung Seo, Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, and Heuiseok Lim
    The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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  4. IJCNLP-AACL
    Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection
    Dahyun Jung, Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, and Heui-Seok Lim
    Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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  5. IWSLT
    Improving formality-sensitive machine translation using data-centric approaches and prompt engineering
    Seungjun Lee, Hyeonseok Moon, Chanjun Park, and Heui-Seok Lim
    Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), 2023
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  6. ACL Demo
    PEEP-Talk: A Situational Dialogue-based Chatbot for English Education
    Seungjun Lee, Yoonna Jang, Chanjun Park, Jungseob Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Seounghoon Lee, Bernardo Yahya, and Heui-Seok Lim
    Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023
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  7. ACL Findings
    Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
    Sugyeong Eo, Hyeonseok Moon, Jinsung Kim, Yuna Hur, Jeongwook Kim, SongEun Lee, Changwoo Chun, Sungsoo Park, and Heuiseok Lim
    Findings of the Association for Computational Linguistics: ACL 2023, Jul 2023
    DOI HTML
  8. ESWA
    Doubts on the reliability of parallel corpus filtering
    Hyeonseok Moon, Chanjun Park, Seonmin Koo, Jungseob Lee, Seungjun Lee, Jaehyung Seo, Sugyeong Eo, Yoonna Jang, Hyunjoong Kim, Hyoung-gyu Lee, and others
    Expert Systems with Applications, 2023
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  9. IEEE
    Uncovering the Risks and Drawbacks Associated with the Use of Synthetic Data for Grammatical Error Correction
    Seonmin Koo, Chanjun Park, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, and Heuiseok Lim
    IEEE Access, 2023
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  10. Mathematics
    A Survey on Evaluation Metrics for Machine Translation
    Seungjun Lee, Jungseob Lee, Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, Seonmin Koo, and Heuiseok Lim
    Mathematics, 2023
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2022

  1. COLING
    QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Gyeongmin Kim, Jungseob Lee, and Heui-Seok Lim
    Proceedings of the 29th International Conference on Computational Linguistics, 2022
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  2. NAACL Findings
    A dog is passing over the jet? a text-generation dataset for korean commonsense reasoning and evaluation
    Jaehyung Seo, Seounghoon Lee, Chanjun Park, Yoonna Jang, Hyeonseok Moon, Sugyeong Eo, Seonmin Koo, and Heui-Seok Lim
    Findings of the Association for Computational Linguistics: NAACL 2022, 2022
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  3. LREC
    Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing
    Hyeonseok Moon, Chanjun Park, Seolhwa Lee, Jaehyung Seo, Jungseob Lee, Sugyeong Eo, and Heui-Seok Lim
    Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
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  4. LREC
    Priming Ancient Korean Neural Machine Translation
    Chanjun Park, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, and Heui-Seok Lim
    Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
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  5. KBS
    PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge
    Jaehyung Seo, Dongsuk Oh, Sugyeong Eo, Chanjun Park, Kisu Yang, Hyeonseok Moon, Kinam Park, and Heuiseok Lim
    Knowledge-Based Systems, 2022
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  6. IEEE
    K-nct: Korean neural grammatical error correction gold-standard test set using novel error type classification criteria
    Seonmin Koo, Chanjun Park, Jaehyung Seo, Seungjun Lee, Hyeonseok Moon, Jungseob Lee, and Heuiseok Lim
    IEEE Access, 2022
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  7. IEEE
    Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot Learners
    Jaehyung Seo, Hyeonseok Moon, Chanhee Lee, Sugyeong Eo, Chanjun Park, Jihoon Kim, Changwoo Chun, and Heuiseok Lim
    IEEE Access, 2022
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  8. Appl. Sci.
    BERTOEIC: Solving TOEIC Problems Using Simple and Efficient Data Augmentation Techniques with Pretrained Transformer Encoders
    Jeongwoo Lee, Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, and Heuiseok Lim
    Applied Sciences, 2022
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  9. Appl. Sci.
    Empirical Analysis of Parallel Corpora and In-Depth Analysis Using LIWC
    Chanjun Park, Midan Shim, Sugyeong Eo, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, and Heuiseok Lim
    Applied Sciences, 2022
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  10. IEEE
    AI for Patents: A Novel Yet Effective and Efficient Framework for Patent Analysis
    Junyoung Son, Hyeonseok Moon, Jeongwoo Lee, Seolhwa Lee, Chanjun Park, Wonkyung Jung, and Heuiseok Lim
    IEEE Access, 2022
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  11. Mathematics
    Return on Advertising Spend Prediction with Task Decomposition-Based LSTM Model
    Hyeonseok Moon, Taemin Lee, Jaehyung Seo, Chanjun Park, Sugyeong Eo, Imatitikua D Aiyanyo, Jeongbae Park, Aram So, Kyoungwha Ok, and Kinam Park
    Mathematics, 2022
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  12. IEEE
    Word-level quality estimation for korean-english neural machine translation
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, and Heuiseok Lim
    IEEE Access, 2022
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  13. Mathematics
    Dense-to-question and sparse-to-answer: Hybrid retriever system for industrial frequently asked questions
    Jaehyung Seo, Taemin Lee, Hyeonseok Moon, Chanjun Park, Sugyeong Eo, Imatitikua D Aiyanyo, Kinam Park, Aram So, Sungmin Ahn, and Jeongbae Park
    Mathematics, 2022
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  14. IEEE
    Mimicking Infants’ Bilingual Language Acquisition for Domain Specialized Neural Machine Translation
    Chanjun Park, Woo-Young Go, Sugyeong Eo, Hyeonseok Moon, Seolhwa Lee, and Heuiseok Lim
    IEEE Access, 2022
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  15. IEEE
    An automatic post editing with efficient and simple data generation method
    Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, and Heuiseok Lim
    IEEE Access, 2022
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2021

  1. NAACL Industry
    Should we find another model?: Improving neural machine translation performance with ONE-piece tokenization method without model modification
    Chanjun Park, Sugyeong Eo, Hyeonseok Moon, and Heui-Seok Lim
    Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021
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  2. IEEE
    An empirical study on automatic post editing for neural machine translation
    Hyeonseok Moon, Chanjun Park, Sugyeong Eo, Jaehyung Seo, and Heuiseok Lim
    IEEE Access, 2021
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  3. Appl. Sci.
    Comparative analysis of current approaches to quality estimation for neural machine translation
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, and Heuiseok Lim
    Applied Sciences, 2021
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