88 citations · 104 across the 13 of their papers we have counts for
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cs.CL2026
Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues
Hanbo Bi, Zhiqiang Yuan, Chongyang Li +7
With the widespread adoption of multi-modal communication platforms, long-form dialogues interleaving text and images have become increasingly common. Users often need to retrieve…
cs.CL2025
CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation
Kaiwen Wei, Xiao Liu, Jie Zhang +11
Multimodal Retrieval-Augmented Generation (MRAG) enables Multimodal Large Language Models (MLLMs) to generate responses with external multimodal evidence, and numerous video-based…