Papers by Fushuo Huo

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Papers by Fushuo Huo

ACL

2026.acl-long

POVFNDB (Process-oriented Video Fake News Detection Benchmark
MLLMs’ perception
POVFNDB
POVFND-CoT
chain-of-thought method
detection accuracy
multi-modal large language models
video fake news detection
QA
video fake news detection process

2026

Multimodality

1 papers

Perception, Understanding and Reasoning: A Multimodal Benchmark for Video Fake News Detection (2026.acl-long)

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Cui Yakun, Peng Qi, Fushuo Huo, Hang Du, Weijie Shi, Juntao Dai, Zhenghao Zhu, Sirui Han

Challenge:	Existing video fake news detection benchmarks focus on the detection accuracy, while failing to provide fine-grained assessments for the entire detection process.
Approach:	They propose a process-oriented video fake news detection benchmark that evaluates MLLMs' perception, understanding, and reasoning capabilities in VFND.
Outcome:	The proposed model achieves sota performance on video fake news detection tasks.

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