83 citations · 84 across the 7 of their papers we have counts for
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cs.IR2026
VIG-RL: Learning to Search and Insert for Verified Image Grounding
Qinhan Yu, Jun Guang, Chong Chen +1
In knowledge-intensive scenarios, providing reliable interleaved text-image responses requires Verified Image Grounding (VIG): the precise integration of retrieved authentic visual…
cs.IR2025
M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation
Zhiyou Xiao, Qinhan Yu, Binghui Li +3
Current research on Multimodal Retrieval-Augmented Generation (MRAG) enables diverse multimodal inputs but remains limited to single-modality outputs, restricting expressive capaci…
cs.IR2025
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
Hao Liu, Zhengren Wang, Xi Chen +4
Retrieval-Augmented Generation (RAG) systems often struggle with imperfect retrieval, as traditional retrievers focus on lexical or semantic similarity rather than logical relevanc…