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Mintae Kim

2 papers · 2025–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

EMNLP (1) L4DC (1)

Top co-authors

Hanhee Cho (1) Yohan Na (1) Geun Lim (1) Seonwu Kim (1) Youngsub Han (1) Kihun Kim (1) Ki Hyun Kim (1) Seongik Park (1) Koushil Sreenath (1) Byoung-Ki Jeon (1)

Research topics

Artificial Intelligence (2) Core AI (2) Deep Learning (1) Machine Learning (1) Reinforcement Learning (1) Application Areas (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1)

Keywords

sample efficiency (1) transfer learning (1) domain adaptation (1) epistemic uncertainty (1) model-based reinforcement learning (1) foundation model (1) world model (1) continual pre-training (1) experience transfer (1) small language model (1) offline-to-online reinforcement learning (1) enterprise deployment (1) domain adaptive continual pretraining (1)

Papers

WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning L4DC 2026 ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining EMNLP 2025