AI RESEARCH
AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
arXiv CS.CL
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ArXi:2604.20135v1 Announce Type: new Multimodal representation is crucial for E-commerce tasks such as identical product retrieval. Large representation models (e.g., VLM2Vec) nstrate strong multimodal understanding capabilities, yet they struggle with fine-grained semantic comprehension, which is essential for distinguishing highly similar items. To address this, we propose Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning (AFMRL), which defines product fine-grained understanding as an attribute generation task.