A model-agnostic framework that forms personalized item embeddings through Long-Horizon Local Optimization and injects common global knowledge through intermittent Regularized Knowledge Guidance is proposed and Adaptive Guidance is introduced to control the influence of global knowledge at the user–item interaction level.
Jaehyung Lim, Wonbin Kweon, Woojoo Kim et al.· Journal of Intelligence and...· 0 citations
RA-VLA is presented, a retrieval-augmented VLA framework that integrates behavior-aligned context retrieval with a grounded execution pipeline that facilitates seamless task adaptation while preserving inference efficiency.
Sanghwan Jang, Minjin Jeon, Minsoo Kim et al.· 1 citation
Graft-Oriented Distillation (GOD) is proposed, a component-level distillation framework for improved generalization through grafting, which uses selected frozen-teacher components with trainable student counterparts to build hybrid source models.
Woojoo Kim, Junyoung Kim, Jaehyung Lim et al.· 0 citations
PMFRec learns a personalized representation generator to produce user-specific item representations from attribute features, and introduces a global multi-view encoder with item-adaptive gating and an orthogonality objective to capture complementary semantic views while reducing cross-view redundancy.
Jaehyung Lim, Wonbin Kweon, Woojoo Kim et al.· 0 citations
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