4 papers
MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
Chi-Hsiang Hsiao, Yi-Cheng Wang, Tzung-Sheng Lin +2
Retrieval-augmented generation (RAG) enables large language models (LLMs) to dynamically access external information, which is powerful for answering questions over previously unse…
HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation
Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao +5
Graph-based retrieval-augmented generation (RAG) methods, typically built on knowledge graphs (KGs) with binary relational facts, have shown promise in multi-hop open-domain QA. Ho…
DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration
Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih +4
Offline signature verification (OSV) is a frequently utilized technology in forensics. This paper proposes a new model, DetailSemNet, for OSV. Unlike previous methods that rely on…
Relation-Rich Visual Document Generator for Visual Information Extraction
Zi-Han Jiang, Chien-Wei Lin, Wei-Hua Li +3
Despite advances in Large Language Models (LLMs) and Multimodal LLMs (MLLMs) for visual document understanding (VDU), visual information extraction (VIE) from relation-rich documen…