Welcome to the Machine and Language Learning Lab (ML3) at Yonsei AI. Our mission is to build intelligent yet human-aligned AI system, by developing machine learning algorithms using language as a main tool for this.
Recently, we’re mainly working on large language models (LLMs) including the below topics, but are not limited to:
- Alignment (e.g., personalization) and Safety
- Reasoning and Self-improvement
- Efficiency and Adaptation
- Extension toward Multi-modality
Recent News
(show all)| Aug, 2026 | Seven papers (ReFeri, CPR, SyRuP, SPRInG, InterPol, LookBack, and LaRA) are accepted to EMNLP 2026! |
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| Jul, 2026 | A11yn is accepted to COLM 2026! |
| May, 2026 | RD Clustering for LLM interpretability is accepted to ICML 2026 as Spotlight Presentation (536/23918=2.24%)! |
| Apr, 2026 | Five papers (ReVisiT, EMCee, Critical Dimension, Gap-K, and Reasoning UID) are accepted to ACL 2026, including 2 Oral Presentations! |
| Jan, 2026 | Six papers (AMIS, DIRECTER, TITOK, Prior Filtering, RPM, and HEX) are accepted to ICLR 2026! |