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Xiangyuan Guan

2 accepted papers

2025

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

ICCV 2025poster

The increasing application of multi-modal large language models (MLLMs) across various sectors has spotlighted the essence of their output reliability and accuracy, particularly their ability to produce content grounded in factual information (e.g. common and domain-specific knowledge). In this work…

Cited by 0SourcePDFScholar
2025

XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser

COLING 2025main

In the domain of Document AI, parsing semi-structured image form is a crucial Key Information Extraction (KIE) task. The advent of pre-trained multimodal models significantly empowers Document AI frameworks to extract key information from form documents in different formats such as PDF, Word, and im…