Papers by JunXi Wang

1 papers
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter (2025.findings-emnlp)

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Challenge: Existing methods for detecting fake news videos fall short due to lack of knowledge to verify the news is real or not.
Approach: They propose a VLM-based framework for detecting fake news on short video platforms . they design four experts tailored to handle each scenario and integrate them into VLM .
Outcome: The proposed framework outperforms current state-of-the-art models on two benchmark datasets.

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