Papers with lightweight explicit alignment recipe

1 papers
e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings (2026.findings-acl)

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Challenge: Recent omni-modal embeddings rely heavily on implicit alignment from pretrained visionlanguage models.
Approach: They propose a lightweight explicit alignment recipe that adapts off-the-shelf VLMs into robust omni-modal embedding models.
Outcome: The proposed model improves on MMEB-V2 and AudioCaps with a lightweight explicit alignment recipe.

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