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IEEE/ICACT20260070 Slide.20        [Big Slide]	Oral Presentation
	A distinguishing feature of GIDLMM is the ability to explain detection decisions . For instance, when analyzing a Stable Diffusion image of a spider, the model identified "unnatural textures" and noted that the "body is overly smooth" with "legs too uniform". Similarly, for a Midjourney image of a dog, it pointed out "unnatural lighting on the dogs face," described as an "overly bright and uniform glow". These specific, semantic descriptions extend beyond simple binary labels, offering users concrete reasons to verify the detection result.

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