Yujin Kim

2026

[W5] BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting

• Soowon Oh*, Nam Cao*, Yujin Kim, Hojung Jung, Huzama Ahmad, Sangmin Bae, Se-Young Yun 

• ICML Workshop on Resource-Adaptive Foundation Model Inference (AdaptFM)

2025

[C6/W4] Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

• Sangmin Bae*, Yujin Kim*, Reza Bayat*, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron Courville^, Se-Young Yun^

• The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS). 2025. San Diego [paper] [code (500+⭐)]

• ICML Workshop on Efficient Systems for Foundation Models (ES-FoMo III). 2025

[W3] Guiding Reasoning in Small Language Models with LLM Assistance

• Yujin Kim*, Euiin Yi*, Minu Kim, Se-Young Yun^, Taehyeon Kim^

• COLM Workshop on Test-time Scaling and Reasoning Models. 2025. Toronoto. [paper] [code]

[C5] Self-training elicits concise reasoning in large language models

• Tergel Munkhbat*, Namgyu Ho*, Seo Hyun Kim*, Yongjin Yang, Yujin Kim, Se-Young Yun

• Findings of the Association for Computational Linguistics: ACL 2025 (Findings of ACL). 2025. Vienna [paper] [code]

2024

[C4] BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models

• Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun

• Findings of the Association for Computational Linguistics: EMNLP 2024. Miami [paper]

[C3/W2] Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models

• Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang^, Se-young Yun^.

• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2024. Mexico City [paper] [code]

• NeurIPS Workshop on Synthetic Data Generation with Generative AI. 2023. (Oral)

2023

[C2] HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning

• Yongjin Yang*, Joonkee Kim*, Yujin Kim*, Namgyu Ho, James Thorne^, Se-young Yun^.

• Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP). 2023. Singapore [paper] [code]

[C1] NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models

• Jongwoo Ko*, Seungjoon Park*, Yujin Kim, Sumyeong Ahn^, Du-Seong Chang, Euijai Ahn, Se-Young Yun^.

• Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP). 2023. Singapore [paper] [code]

2022

[P1] How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation

• Yujin Kim*, Jaehoon Oh*, Sungnyun Kim, Se-Young Yun.

• Preprint. 2022. [paper] [code]

PhD Research Intern @NVIDIA Research (Language and Cognition Research Team)

• Santa Clara, CA

• June. 2026 - Present

• Mentor: David Acuna / Manager: Jan Kautz

• Synthesizing curriculum data to train LLMs for scientific discovery

Korea Advanced Institue of Science and Technology (KAIST), Seoul, Korea, Mar. 2025 - Ongoing

Ph.D in Kim Jaechul Graduate School of Artificial Intelligence (Advisor: Se-Young Yun and Hwanjun Song)

Korea Advanced Institue of Science and Technology (KAIST), Seoul, Korea, June. 2022 - Feb. 2025

M.S. in Kim Jaechul Graduate School of Artificial Intelligence (Advisor: Se-Young Yun)

Thesis: Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Model