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cs.CV2026
Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang +86
We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage t…
cs.CV2026
Beyond Global Similarity: Towards Fine-Grained, Multi-Condition Multimodal Retrieval
Xuan Lu, Kangle Li, Haohang Huang +3
Recent advances in multimodal large language models (MLLMs) have substantially expanded the capabilities of multimodal retrieval, enabling systems to align and retrieve information…