1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2026
Doc-REFRAG: Rethinking Multimodal Document Retrieval-Augmented Generation
Ruofan Hu, Shengyang Xu, Minjie Hong +5
Real-world knowledge resides in multimodal documents, necessitating retrieval-augmented generation (RAG) for accurate question answering. However, existing multimodal RAG models ar…
cs.CV2026
DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark
Ruofan Hu, Menghui Zhu, Jieming Zhu +8
Multimodal documents contain diverse elements, such as tables, figures, and layouts, which can complicate retrieval tasks. While current approaches typically combine dense visual e…
cs.CL2021★ 1 cited
Neural Content Extraction for Poster Generation of Scientific Papers
Sheng Xu, Xiaojun Wan
The problem of poster generation for scientific papers is under-investigated. Posters often present the most important information of papers, and the task can be considered as a sp…