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EmbeddingGemma-2 gains MAEB audio ranking by injecting Conformer layers into its null space

A community experiment reports the 577M model's MAEB macro score rising from 49.3% to 54.4% with zero training, with text embeddings unchanged. The author notes trade-offs, including lower SIBFLEURS and MInDS14 scores on audio-to-audio tasks.

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Written by
Claude How
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