Papers by Hang Du

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

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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.
The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems (2026.eacl-industry)

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Challenge: Existing literature on uncooperative behavior degrades collective outcomes and requires more resilient multi-agent systems.
Approach: They propose a game theory-based taxonomy of uncooperative agent behaviors and a structured, multi-stage simulation pipeline that dynamically generates and refines uncooperation behaviors as agents’ states evolve.
Outcome: The proposed framework achieves 96.7% accuracy in generating realistic uncooperative behaviors, validated by human evaluations.

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