Introduces Modality Dominance Score (MDS) to measure modality-specific features in VLMs and applies training-free editing to improve bias mitigation, adversarial generation, and modality control.
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ECHO presents a multimodal co-editing system and CoEdit-Eval framework that improves AI intent mapping and spatial grounding for presentation refinement while reducing user cognitive load in a small study.
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Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
Introduces Modality Dominance Score (MDS) to measure modality-specific features in VLMs and applies training-free editing to improve bias mitigation, adversarial generation, and modality control.
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ECHO: Explainable Co-editing with Human-in-the-loop Operations for Presentation Refinement
ECHO presents a multimodal co-editing system and CoEdit-Eval framework that improves AI intent mapping and spatial grounding for presentation refinement while reducing user cognitive load in a small study.