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Jinjie Shen

2 accepted papers

2026

CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection

ICML 2026poster

The rapid rise of generative AI has made multimodal fake news increasingly realistic and pervasive, posing severe threats to public trust and social stability. Existing detection methods rely heavily on manipulation-specific models and large-scale labeled data, resulting in poor generalization to em…

Cited by 0SourceScholar
2026

OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL

ICML 2026poster

Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle the interleaved text, images, and videos prevalent in real-world misinformation. To bridge this gap, we propose **OmniVL-Guard**, a unified framework for omni vision-language forgery detection a…

Cited by 0SourceScholar