Fake-HR1 is a hybrid-reasoning VLM that adaptively selects reasoning modes for synthetic image detection via two-stage HFT and HGRPO training, improving both accuracy and efficiency over standard LLMs.
To this end, we proposed a two-stage training framework consisting of SFT and HGRPO
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Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection
Fake-HR1 is a hybrid-reasoning VLM that adaptively selects reasoning modes for synthetic image detection via two-stage HFT and HGRPO training, improving both accuracy and efficiency over standard LLMs.