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cs.CV2026
When Does an Image Determine the Answer? Benchmarking Visual Answerability across Charts and Scenes
Sungguk Cha, Mintae Kim, Youngsub Han +2
Reliable visual question answering requires correct answers when evidence is sufficient and abstention when it is not. We introduce a benchmark that connects complete-question eval…
cs.CV2026
Do Current Retrievers Cover All the Evidence? A Controlled Study of Conjunctive Cross-Page Retrieval
Sungguk Cha, DongWook Kim, Mintae Kim +3
Finding a long document relevant to a multi-part request is not the same as establishing that it contains every requested piece of evidence. We study this gap for conjunctive docum…
cs.IR2026
ReinPool: Reinforcement Learning Pooling Multi-Vector Embeddings for Retrieval System
Sungguk Cha, DongWook Kim, Mintae Kim +3
Multi-vector embedding models have emerged as a powerful paradigm for document retrieval, preserving fine-grained visual and textual details through token-level representations. Ho…