AI RESEARCH
VTAgent: Agentic Keyframe Anchoring for Evidence-Aware Video TextVQA
arXiv CS.CV
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ArXi:2605.04870v1 Announce Type: new Video text-based visual question answering (Video TextVQA) aims to answer questions by reasoning over visual textual content appearing in videos. Despite the strong multimodal video understanding capabilities of recent Video-LLMs, their performance on existing Video TextVQA benchmarks remains limited.