Seongryong Jung

I am an undergraduate student in Artificial Intelligence at Chung-Ang University in Seoul, Korea. My research focuses on adaptive post-training for foundation models: understanding how supervision and training should adapt to a model's current knowledge, capabilities, and behavior.

I first explored this question through knowledge distillation, leading to a first-author paper presented as an oral at EMNLP 2025 and nominated for an Outstanding Paper Award. I later worked on foundation-model post-training at Trillion Labs, where I studied knowledge distillation and continual fine-tuning for large language models.

I am currently interested in self-distillation and efficient continual post-training, with the broader goal of building self-evolving AI systems that can continuously improve by leveraging their own knowledge and behavior.

Email / CV / Scholar / Github / LinkedIn

News

May. 2026 Awarded a research grant for the Knowledge Distillation for Self-Evolving AI project (2026 - 2027)
Mar. 2026 Started a research internship at Trillion Labs (Mar. 2026 - Jun. 2026)
Dec. 2025 Gave an invited talk, Knowledge Distillation for Large Language Models, at KSC 2025
Nov. 2025 ToDi was selected as an Outstanding Paper Award Finalist at EMNLP 2025 (top 0.9%)
Oct. 2025 Started as an exchange student at Tokyo Metropolitan University (Oct. 2025 - Mar. 2026)
Aug. 2025 ToDi was accepted to EMNLP 2025 (Oral)

Publications

ToDi: Token-wise Distillation via Fine-Grained Divergence Control
Seongryong Jung, Suwan Yoon, DongGeon Kim, Hwanhee Lee
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)
Oral Presentation / 🏆 Outstanding Paper Award Finalist (top 0.9%)
project / paper / arXiv / code / bibtex

@inproceedings{jung-etal-2025-todi,
  title     = "{T}o{D}i: Token-wise Distillation via Fine-Grained Divergence Control",
  author    = "Jung, Seongryong and Yoon, Suwan and Kim, DongGeon and Lee, Hwanhee",
  booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
  year      = "2025",
  publisher = "Association for Computational Linguistics",
  url       = "https://aclanthology.org/2025.emnlp-main.409",
}

Experiences

Trillion Labs Mar. 2026 – Jun. 2026

Seoul, Korea

Research Intern
Worked on continual learning and agentic distillation for foundation model post-training. (Gravity)

DMT Labs Mar. 2025 – Jun. 2025

Seoul, Korea

Research Intern
Designed a novel post-training distillation method for large language models. (ToDi)

Education

Chung-Ang University Mar. 2023 – Present

Seoul, Korea

B.S. in Artificial Intelligence
GPA: 4.34 / 4.50

Tokyo Metropolitan University Oct. 2025 – Mar. 2026

Tokyo, Japan

Exchange Student, Faculty of Systems Design

Awards & Honors

Research Grant, Knowledge Distillation for Self-Evolving AI (2026)
Software College Dean's Award, 2025 CAU Engineering Academic Festival (2025)
Outstanding Paper Award Finalist, EMNLP 2025 (2025)
IITP President's Award, 2025 ICT Internship Outstanding Achievement Awards (2025)
Japan Student Services Organization (JASSO) Scholarship (2025)

Languages

Korean, Native
English, CEFR B2
Japanese, CEFR B2

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