ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog

arXiv:2607.04438v1 Announce Type: cross Abstract: Research dissemination, turning a paper into a poster, a talk video, and a blog post, is still a manual last mile. Prior automation treats each artifact in isolation that each re-extract the paper from scratch, usually ship one-way renders the author cannot reopen in PowerPoint or Word, and gates quality on soft VLM-preference scores that plateau while load-bearing sections still read as empty. We argue this last mile is best built as a composition of skills: thin agent-readable contracts that share one upstream extractor and wrap deterministic
The rapid advancement in AI capabilities, particularly in large language models and multimodal AI, enables the automation of complex, creative tasks previously considered manual 'last mile' work in research dissemination.
This development streamlines the research communication pipeline, potentially accelerating knowledge transfer and impact by making complex scientific work more accessible and efficiently disseminated across various formats.
The laborious, often manual process of adapting research papers into posters, videos, and blog posts can now be significantly automated, shifting the researcher's focus from formatting to content creation and analysis.
- · Researchers
- · Academic institutions
- · Scientific publishers
- · AI software developers
- · Manual graphic designers for research
- · Content creation agencies for academia
Increased efficiency and broader dissemination of scientific research via automated generation of diverse communication artifacts.
Higher impact factors for research due to improved accessibility and better-tailored content for different audiences, shifting resources from presentation to discovery.
Democratization of research communication, enabling smaller institutions or individual researchers to compete more effectively with well-funded labs in broadcasting their findings.
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Read at arXiv cs.AI