Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research Reports
The paper introduces Video-Centered Deep Research Report Generation, where an agent given a video and user request identifies research questions, retrieves external multimodal evidence, and produces an interactive report linked to relevant video moments. It presents OmniDR-Bench, with 50 Chinese and English tasks across 19 real-world subcategories and 6,414 criteria, and Omni Atomic Rubric Trees for evaluation across three dimensions and 23 shared directions. Across 18 agent configurations, the best system scores 63.3 out of 100.
One primary source; other links are context, not independent corroboration.
- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
- Linked in sourceView arXiv page
- Linked in sourceView PDF
The paper page is linked. Peer review and findings have not been independently checked by AINewsIQ.
Open full article view →- Original paper+45
- Fetched source page+30
- No editor link review+0
- Original non-discussion link+5
This measures the stored source trail and editorial steps. It does not certify accuracy, peer review, or independent corroboration. Popularity adds no points.
View full scoring →Read the scoring rubric →What the source says
The paper introduces Video-Centered Deep Research Report Generation, where an agent given a video and user request identifies research questions, retrieves external multimodal evidence, and produces an interactive report linked to relevant video moments. It presents OmniDR-Bench, with 50 Chinese and English tasks across 19 real-world subcategories and 6,414 criteria, and Omni Atomic Rubric Trees for evaluation across three dimensions and 23 shared directions. Across 18 agent configurations, the best system scores 63.3 out of 100.
Key findings from the stored brief
- OmniDR-Bench contains 50 Chinese and English tasks across 19 real-world subcategories, with 6,414 atomic binary criteria.
- Omni Atomic Rubric Trees test audiovisual grounding, multimodal evidence use, and interactive presentation.
- The best of 18 evaluated agent configurations scores 63.3 out of 100.
- The authors report that current agents need broader content coverage, stronger cross-modal causal analysis, and more accurate citation support.
Source claims not independently checked; the reported scores come from the authors' own benchmark and rubric construction process.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
These links show where the signal came from and what the source page linked to. A linked page is context, not independent corroboration.
Related archive coverage
These relationships record a citation or topic overlap, not confirmation of the finding.
The paper page is linked. Peer review and findings have not been independently checked by AINewsIQ.
Timeline & updates
- Signal dated by source or discovery feed
This timestamp places the signal in the radar. It may be the discovery post date rather than the primary page's first publication date.
- Shared brief stored
AINewsIQ prepared one abstract from fetched source page.
A publication revision history is not stored for this signal. New engagement snapshots do not mean the source itself changed.
Why this may matter
Most deep research benchmarks ignore a source video as the research anchor. This benchmark targets tasks like verifying claims and reproducing demonstrated procedures from video, giving a measurable way to compare agents on that workflow.
Limits and open questions
Source claims not independently checked; the reported scores come from the authors' own benchmark and rubric construction process.
Organization-specific financial, security, and operational effects require the organization's own context and review.
Discussion
Ask about the source, add context, or point readers to a relevant follow-up.
Discussion
Comments are reviewed before publication. Discuss the evidence, not the person.
No published comments yet.
Reader discussion opens with accounts. You can read the original source and published comments now.