Author

Sangwoo Mo

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#artificial intelligence Preprint Oct 2026

Loud and Clear: Making Visual Evidence Count in Multimodal Document RAG

Multimodal document retrieval-augmented generation (RAG) has focused largely on retrieval, yet its answers depend on how well a vision-language model reads the retrieved pages. We find that evidence in retrieved pages remains underused even when the correct pages are retrieved. On SciEGQA oracle pages, five prior metho...

Eunchan Jo, Seounghyun Jang, Sangwoo Mo · 0 citations

#artificial intelligence Preprint Oct 2026

Why, Where, How: Taxonomy-guided Error Grounding for Code Repair in NL2SQL

SQL queries that large language models write from natural language questions can execute successfully yet produce incorrect results, so execution alone does not reveal what to fix. An error taxonomy says why the query is wrong, but not where to look or how to change it. Existing methods can guide SQL correction through...

Su-Chan Lee, Woo-Min Song, Hwanjo Yu et al. · 0 citations