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Nam In Park

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#artificial intelligence Preprint Sep 2026

ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection

This work proposes ToolDF, a tool-integrated reasoning framework for mixed-authenticity audio deepfake detection that employs an audio large language model as an orchestrator trained with supervised tool-use trajectories and introduces a mixed-authenticity ADD benchmark covering temporal transitions, acoustic overlaps,...

Taewoo Kim, Young-Han Lee, Nam In Park et al. · 0 citations

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