Zhengxuan Zhang — accepted AI-conference papers

2026

Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs

Zhuowen Liang, Xiaotian Lin, Zhengxuan Zhang, Yuyu Luo, Haixun Wang, Nan Tang

ICLR 2026poster

Large language models (LLMs) are widely applied to data analytics over documents, yet direct reasoning over long, noisy documents remains brittle and error-prone. Hence, we study document question answering (QA) that consolidates dispersed evidence into a structured output (e.g., a table, graph, or…

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2024

MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering

Zhengxuan Zhang, Yin Wu, Yuyu Luo, Nan Tang

EMNLP 2024main

A multimodal large language model MLLMs may struggle with answering visual-based (personal) entity questions (VEQA), such as ”who is A?” or ”who is A that B is talking to?” for various reasons, e.g., the absence of the name of A in the caption or the inability of MLLMs to recognize A, particularly f…

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