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cs.AI2026
Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions
Jeongeun Lee, Chanyoung Park, Dongha Lee
Multimodal large language model (MLLM)-based embodied agents have shown strong potential for solving complex tasks in physical environments. However, personalized assistance requir…
cs.IR2026
Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item Indexing
Deogyong Kim, Junseong Lee, Jeongeun Lee +4
Recent advances in large language models (LLMs) offer new opportunities for recommender systems by capturing the nuanced semantics of user interests and item characteristics throug…