SOURCE-LINKED INTELLIGENCE
From Visual Feedback to Textual Reviews: A Multi-Agent Vision-Language Framework for Image-Grounded Review Assistance
Visual feedback in the form of user-uploaded images and videos is becoming increasingly common in e-commerce platforms because it provides authentic evidence of product quality, defects, packaging conditions, and real-world usage. However, visual feedback alone often lacks the contextual explanations and subjective opinions necessary for informed decision-making, while many users provide limited textual feedback due to the effort required to compose detailed reviews. To bridge this gap, we introduce image-grounded review assistance, a novel task that aims to generate editable review drafts fro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-13T19:51:27.000Z
First collected: 2026-09-20T12:21:05.240Z. This is not the publication date.