AI RESEARCH
Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues
arXiv CS.CL
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ArXi:2606.04591v1 Announce Type: new 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 coherent dialogue fragments related to specific topics, rather than isolated utterances. We propose Fine-grained Fragment Retrieval (FFR), which locates semantically relevant multi-utterance, multi-image fragments in multi-modal long-form dialogues.