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Evidence record 16216 · automatically gathered

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: 3 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Bias & fairness · Agents & autonomy
Retrieved: 5 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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Shared topic: Bias & fairness · Shared topic: Agents & autonomy

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Shared topic: Bias & fairness · Shared topic: Agents & autonomy

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Shared topic: Bias & fairness · Shared topic: Agents & autonomy

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Shared topic: Bias & fairness · Shared topic: Agents & autonomy

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How to cite this record

ethics.ai (3 August 2026), “Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent,” evidence record 16216, https://ethics.ai/record/16216 (originally published by HuggingFace Daily Papers).

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