Advances in image generation have made synthetic images increasingly difficult to distinguish from real photographs, raising concerns about the trustworthiness of visual media. Existing AI-generated image detectors often perform well on in-domain data, but their robustness and cross-generator generalization remain limi...
Man-Ni Cui, Rui-Qi Liu, Zi-Jian Yu et al.· 0 citations
Results validate that a lightweight inference-time intervention can substantially boost GUI Agent's competence to identify inappropriate execution scenarios and refrain from unnecessary actions.
Zhao-Yuan Huang, Tian-Jie Ju, Pengzhou Cheng et al.· 0 citations
This work proposes a causal framework based on activation steering to actively probe and manipulate internal visual representations, revealing a divergence in concept encoding: entity knowledge is distinctively localized, whereas abstract concepts are globally distributed across the network.
This work presents Veritas++, a perception-enhanced reasoning framework that establishes reliable perception as the foundation of authenticity reasoning, and introduces Value-aware On-Policy Distillation (VaOPD), an adaptive distillation mechanism that prioritizes high-value distillation signals over uniform supervisio...
Hao Tan, Jun Lan, Zichang Tan et al.· 1 citation
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