ResComEmb: Effective and Efficient Multimodal Embedding via Residual Homogeneity Compression.

arXiv:2609.37225v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) have shown strong potential for universal multimodal representation learning. However, existing methods either compress each input into a single vector, limiting fine-gr