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[R] Taking EmbeddingGemma-2 (577M) from Rank #26 to #1 on the MAEB audio benchmark by filling its 256d null space with PCA-reduced intermediate Conformer layers (zero training) [R]

This story is from 2026-10-28. It is preserved in the archive; the latest stories are on the live feed.

Model & weights: BrunoHays/embeddinggemma-2-nullspace-audio I wanted to share an experiment on google/embeddinggemma-2 (577M) for MAEB, the 30-task audio benchmark on the MTEB leaderboard . By projecting intermediate Conformer layers into the unused null space of the model's final projection matrix…

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  1. 2026-10-28 13:34 · r/MachineLearning
    [R] Taking EmbeddingGemma-2 (577M) from Rank #26 to #1 on the MAEB audio benchmark by filling its 256d null space with PCA-reduced intermediate Conformer layers (zero training) [R]

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