AI RESEARCH
VQQA: An Agentic Approach for Video Evaluation and Quality Improvement
arXiv CS.AI
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ArXi:2603.12310v1 Announce Type: cross Despite rapid advancements in video generation models, aligning their outputs with complex user intent remains challenging. Existing test-time optimization methods are typically either computationally expensive or require white-box access to model internals. To address this, we present VQQA (Video Quality Question Answering), a unified, multi-agent framework generalizable across diverse input modalities and video generation tasks.