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UEmbed: Unified Sparse and Dense Multimodal Embeddings
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- UEmbed is a decoder-only multimodal embedding model that generates both sparse lexical and dense vector representations in a single forward pass.
- 为何重要
- Relevant for engineers building retrieval systems, search infrastructure, or retrieval-augmented generation pipelines that need unified sparse and dense embeddings.
- 注意
- Paper is recent arXiv submission without peer review. Practical performance gains over existing systems and real-world deployment considerations remain to be validated.
收听本摘要
- retrieval
- embedding
- encoder
- eval
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