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EmbeddingGemma 2: Unified and Efficient Multimodal Representations research paper by Google, 2026

Google · Inference and efficiency · Oct 27, 2026 · 34 upvotes · unverified

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What it shows

EmbeddingGemma 2 is an open multimodal embedding model that unifies text, images, audio, and video representations with efficient resource-flexible design and state-of-the-art benchmark performance.

By Henrique Schechter Vera, Sahil Dua, Jovan Andonov and 70 more · arXiv 2610.37364 · PDF

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Citations
Not counted yet · Semantic Scholar
Upvotes
34 · Hugging Face
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Changes

UpvotesNov 9, 2026Hugging Face upvotes rose from 31 to 34.
UpvotesNov 2, 2026Hugging Face upvotes rose from 30 to 31.
New paperNov 2, 2026Found by the weekly Hugging Face scan; not yet checked by hand.