Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues 事件

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues arXiv:2606.04591v1 Announce Type: cross Abstract: 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-imag