Author

Cheonyoung Park

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Preprint Sep 2026

Concepts Complement Dense Semantics: Learning Compact Sparse Spaces for Text-Image Retrieval

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

Review Aug 2026

Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders

CAIRO, a user context-aware item profiling framework for LLM-based reranking, first structures raw metadata and reviews into objective features and subjective traits, and employs a lightweight profiler to select the most relevant information for each user-item pair with limited serving-time overhead.

Dojun Hwang, Seunghan Lee, Cheonyoung Park et al. · 0 citations