CIM-Embed: Learning Instruction-Conditioned Multimodal Embeddings for Clustering
CIM-Embed is presented, a framework for learning instruction-conditioned multimodal embeddings for clustering, and Frozen product-trained encoders improve out-of-domain conditional grouping, while controlled transfer experiments distinguish partition transfer from instruction response.
Ying-Hua Xu, Peng-Yang Xie, Yan-Xiang Zhou et al.
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