Qian Ma

MLLMs can significantly improve KB-VQA performance by first identifying entities from a limited candidate set before selecting evidence, leading to a more efficient and effective workflow.

Achieve strong privacy protection while generating realistic synthetic data from private seeds using differentially private LLMs, outperforming existing methods.