Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web exploration. Preliminary evaluations reveal two critical bottlenecks in current models: (1) modality bias, where agents bypass visual tools in favor of textual search, and (2) parametric knowledge leakage, where models rely on internal memory rather than genuine tool-augmented execution. To address thes
Record details
Published: 4 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Bias & fairness · Agents & autonomy
Retrieved: 5 August 2026
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ethics.ai (4 August 2026), “Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent,” evidence record 16539, https://ethics.ai/record/16539 (originally published by arXiv cs.AI).
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