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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