{"ID":5937765,"CreatedAt":"2026-07-07T03:14:33.014478982Z","UpdatedAt":"2026-07-08T17:45:44.879869709Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.04438","arxiv_id":"2607.04438","title":"ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog","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 primitives in a measured-fill loop whose exits are hard pass/fail render gates. We instantiate this as ResearchStudio-Reel, five Claude Code and Codex skills organized into one shared extractor (Paper2Assets), three editable generators (Paper2Poster, Paper2Video, Paper2Blog), and one interactive convergence layer (Paper2Reel). Paper2Assets extracts each paper once into a shared bundle that can be reused by every downstream skill; The three generators produce a print-ready poster, a synchronized talk video, and a bilingual blog that stay factually consistent and round-trip through PowerPoint or Word; Paper2Reel then binds all three into a self-contained HTML viewer whose section-level clicks jump the video, slides, captions, and blog to matching content. On the Paper2Poster benchmark, our posters lead every aesthetic and information sub-criterion against both prior automated systems and single-shot frontier LLMs, surpassing the authors' own on aesthetics under two held-out VLM judges and winning overall on 84% to 93% of papers; capability audits further show that, by uniquely pairing narration-aligned on-slide highlights with a bilingual blog gated by layout-aware DOCX repair, ResearchStudio-Reel is the only pipeline to ship all three editable artifacts. Project is available at https://aka.ms/ResearchStudio","short_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-pr...","url_abs":"https://arxiv.org/abs/2607.04438","url_pdf":"https://arxiv.org/pdf/2607.04438v1","authors":"[\"Lingao Xiao\",\"Yalun Dai\",\"Yangyu Huang\",\"Qihao Zhao\",\"Wenshan Wu\",\"Hugo He\",\"Ruishuo Chen\",\"Jin Jiang\",\"Qianli Ma\",\"Jiahuan Zhang\",\"Xin Zhang\",\"Ying Xin\",\"Yang Ou\",\"Yan Xia\",\"Scarlett Li\",\"Longbo Huang\",\"Zhipeng Zhang\",\"Yang He\",\"Yap Kim Hui\",\"Yan Lu\"]","published":"2026-07-05T17:59:33Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.AI\",\"cs.HC\",\"cs.MA\",\"cs.MM\"]","methods":"[\"Large Language Model\",\"Generative Adversarial Network\"]","project_urls":"[\"https://aka.ms/ResearchStudio\"]","has_code":false,"code_links":[{"ID":613985,"CreatedAt":"2026-07-07T03:14:33.014478982Z","UpdatedAt":"2026-07-07T03:14:33.014478982Z","DeletedAt":null,"paper_id":5937765,"paper_url":"https://arxiv.org/abs/2607.04438","paper_title":"ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog","repo_url":"https://github.com/microsoft/ResearchStudio","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}