Generative Giants, Retrieval Weaklings: Why do Multimodal Large Language Models Fail at Multimodal Retrieval? (2026.findings-acl)
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| Challenge: | Rapid advances in multimodal large language models have revolutionized cross-modality understanding. |
| Approach: | They propose a method that uses whitening transformations to adjust MLLM representation spaces . they propose ML models that are dominated by textual semantics and visual semantics . |
| Outcome: | The proposed approach improves zero-shot multimodal retrieval performance without fine-tuning efforts. |
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