Papers by Meiyi Qiang

1 papers
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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