이동하 연구실

LLM-driven insight discovery and decision making, user modeling and profiling for personalized AI, AI agents for manufacturing and operational optimization, prediction and anomaly detection

Advancing knowledge integration and reasoning capabilities of LLMs, reward modeling and evaluation for reliable LLMs, on-device and edge LLMs for efficient and privacy-preserving intelligence

Representation learning and data encoders for retrieval and recommendation, reasoning-aware and explainable search/recommender systems, conversational and interactive search systems