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cs.IR2026
CANOPY: Adaptive-Granularity Evidence Compression for Multimodal RAG
Hyojeong Yun, Jueun Kim, Wook-Shin Han
Multimodal RAG retrieves text, tables, images, and videos, but choosing a retrieval granularity does not determine how much context to retain within each item. Coarse units include…
cs.IR2026
LILaC: Late Interacting in Layered Component Graph for Open-domain Multimodal Multihop Retrieval
Joohyung Yun, Doyup Lee, Wook-Shin Han
Multimodal document retrieval aims to retrieve query-relevant components from documents composed of textual, tabular, and visual elements. An effective multimodal retriever needs t…
cs.IR2026
Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs
Joohyung Yun, Doyup Lee, Wook-Shin Han
Open-domain multimodal document retrieval aims to retrieve specific components (paragraphs, tables, or images) from large and interconnected document corpora. Existing graph-based…