Publications

2026

1. SIGIR 2026

   

   Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval

   Youngjoon Jang, Seongtae Hong, Hyeonseok Moon, and Heuiseok Lim

   In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026), 2026

   Investigating the importance of score distribution in knowledge distillation for dense retrieval, going beyond hard negatives.

   @inproceedings{jang2026sigir,
     title = {Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval},
     author = {Jang, Youngjoon and Hong, Seongtae and Moon, Hyeonseok and Lim, Heuiseok},
     year = {2026},
     booktitle = {Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)},
   }

2. ICLR 2026

   

   Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment

   Seongtae Hong, Youngjoon Jang, Jungseob Lee, Hyeonseok Moon, and Heuiseok Lim

   In Proceedings of the International Conference on Learning Representations (ICLR 2026), 2026

   Improving semantic proximity in information retrieval through cross-lingual alignment techniques.

   @inproceedings{hong2026iclr,
     title = {Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment},
     author = {Hong, Seongtae and Jang, Youngjoon and Lee, Jungseob and Moon, Hyeonseok and Lim, Heuiseok},
     year = {2026},
     booktitle = {Proceedings of the International Conference on Learning Representations (ICLR 2026)},
   }

3. ICLR WS 2026

   

   LEGALMIDM: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model

   Youngjoon Jang, Chanhee Park, Hyeonseok Moon, Young-kyoung Ham, Jiwon Moon, Jinhyeon Kim, JuKyung Jung, and Heuiseok Lim

   In ICLR 2026 Data-FM Workshop, 2026

   Use-case-driven legal domain specialization for Korean Large Language Model.

   @inproceedings{jang2026legalmidm,
     title = {LEGALMIDM: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model},
     author = {Jang, Youngjoon and Park, Chanhee and Moon, Hyeonseok and Ham, Young-kyoung and Moon, Jiwon and Kim, Jinhyeon and Jung, JuKyung and Lim, Heuiseok},
     year = {2026},
     booktitle = {ICLR 2026 Data-FM Workshop},
   }

4. ACL 2026

   

   CLEAR: Cross-Lingual Enhancement in Retrieval via Reverse-training

   Seungyoon Lee, Minhyuk Kim, Seongtae Hong, Youngjoon Jang, Dongsuk Oh, and Heuiseok Lim

   In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), 2026

   Cross-lingual enhancement in retrieval via reverse-training.

   @inproceedings{lee2026clear,
     title = {CLEAR: Cross-Lingual Enhancement in Retrieval via Reverse-training},
     author = {Lee, Seungyoon and Kim, Minhyuk and Hong, Seongtae and Jang, Youngjoon and Oh, Dongsuk and Lim, Heuiseok},
     year = {2026},
     booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)},
   }

2025

1. ArXiv 2025

   

   Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging

   Youngjoon Jang, Junyoung Son, Taemin Lee, Seongtae Hong, Hyeonseok Moon, Andrew Matteson, and Heuiseok Lim

   ArXiv Preprint, 2025

   A data-centric study on improving Korean-English cross-lingual retrieval through language composition and model merging techniques.

   @article{jang2025crosslingual,
     title = {Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging},
     author = {Jang, Youngjoon and Son, Junyoung and Lee, Taemin and Hong, Seongtae and Moon, Hyeonseok and Matteson, Andrew and Lim, Heuiseok},
     year = {2025},
     journal = {ArXiv Preprint},
   }

2. ArXiv 2025

   

   VAETKI Technical Report

   NC-AI Consortium

   ArXiv Preprint, 2025

   Technical report for the VAETKI project by the NC-AI Consortium.

   @article{ncai2025vaetki,
     title = {VAETKI Technical Report},
     author = {{NC-AI Consortium}},
     year = {2025},
     journal = {ArXiv Preprint},
   }

3. ACL SRW 2025

   

   From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems

   Youngjoon Jang, Seongtae Hong, Junyoung Son, Sungjin Park, Chanjun Park, and Heuiseok Lim

   In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL 2025 SRW), 2025

   Investigating how coreference resolution improves the accuracy of Retrieval-Augmented Generation systems.

   @inproceedings{jang2025coreference,
     title = {From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems},
     author = {Jang, Youngjoon and Hong, Seongtae and Son, Junyoung and Park, Sungjin and Park, Chanjun and Lim, Heuiseok},
     year = {2025},
     booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL 2025 SRW)},
   }

4. HCLT 2025

   

   KURE: Embedding Model for Korean-Specific Retrieval

   Youngjoon Jang, Junyoung Son, Taemin Lee, Seongtae Hong, Jungbae Park, and Heuiseok Lim

   In Annual Conference on Human & Cognitive Language Technology (HCLT 2025), 2025

   Best Paper

   Best Oral Presentation Award

   Embedding model for Korean-specific retrieval achieving state-of-the-art performance.

   @inproceedings{jang2025kure,
     title = {KURE: Embedding Model for Korean-Specific Retrieval},
     author = {Jang, Youngjoon and Son, Junyoung and Lee, Taemin and Hong, Seongtae and Park, Jungbae and Lim, Heuiseok},
     year = {2025},
     booktitle = {Annual Conference on Human \& Cognitive Language Technology (HCLT 2025)},
   }

2024

1. EMNLP 2024

   

   Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts

   Seonmin Koo, Jinsung Kim, Youngjoon Jang, Chanjun Park, and Heuiseok Lim

   In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), 2024

   Exploring how Large Language Models navigate between semantics and structures in long context scenarios.

   @inproceedings{koo2024whereami,
     title = {Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts},
     author = {Koo, Seonmin and Kim, Jinsung and Jang, Youngjoon and Park, Chanjun and Lim, Heuiseok},
     year = {2024},
     booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)},
   }

2. HCLT 2024

   

   KoE5: A New Dataset and Model for Improving Korean Embedding Performance

   Youngjoon Jang, Junyoung Son, Taemin Lee, Seongtae Hong, Jungbae Park, and Heuiseok Lim

   In Annual Conference on Human & Cognitive Language Technology (HCLT 2024), 2024

   Introducing KoE5, a new dataset and model specifically designed to improve Korean text embedding performance.

   @inproceedings{jang2024koe5,
     title = {KoE5: A New Dataset and Model for Improving Korean Embedding Performance},
     author = {Jang, Youngjoon and Son, Junyoung and Lee, Taemin and Hong, Seongtae and Park, Jungbae and Lim, Heuiseok},
     year = {2024},
     booktitle = {Annual Conference on Human \& Cognitive Language Technology (HCLT 2024)},
   }