Cross-modal retrieval has been advanced by vision-language pre-trained models that encode images and texts into a shared dense embedding space. While dense representations effectively capture overall semantic similarity, they often obscure fine-grained visual-textual information needed for precise cross-modal matching....
Yoonseo Kim, Jung A. Choi, Cheonyoung Park et al.· 0 citations
ProFILL, a method for transforming hoBIT, the authors' college's current rule-based advising chatbot, into a profile-aware retrieval-augmented generation (RAG) system, is presented, which outperforms diverse RAG baselines, is preferred by target users, and remains effective with open-weight models for cost-effective on...
Yoonseo Kim, S. Lee, Joongheon Kim et al.· 0 citations
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