Mingzhu Cai — accepted AI-conference papers

2026

Tackling Alignment Ambiguity in Person Retrieval through Conversational Attribute Mining

Hao Zou, Runqing Zhang, Jin Ding, Xue Zhou, Jianxiao Zou, Mingzhu Cai

CVPR 2026

Text-to-Image Person Retrieval (TIPR) aims to retrieve pedestrian images with a given natural language description. It remains highly challenging due to the inherent ambiguity in cross-modal alignment: existing models often struggle to capture fine-grained correspondences, and their understanding of

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2023

Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling

Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang, Hua Wu

ACL 2023long

In this paper, we propose an unsupervised query enhanced approach for knowledge-intensive conversations, namely QKConv. There are three modules in QKConv: a query generator, an off-the-shelf knowledge selector, and a response generator. QKConv is optimized through joint training, which produces the…

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