ResearchStudio-Reel：自动化研究的最后一公里——从论文到海报、视频与博客

摘要

研究传播——将论文转化为海报、演讲视频和博客文章——仍然是手动处理的最后一公里。以往的自动化方法将每种成果孤立处理，每项任务都从头重新提取论文，通常采用单向渲染，导致作者无法在PowerPoint或Word中重新打开，并且质量受限于软视觉语言模型偏好评分，该评分在关键部分仍显空洞时便已停滞不前。我们认为，这最后一公里最好通过技能组合来构建：轻量的智能体可读合约，共享同一个上游提取器，将确定性原语封装在按需填充循环中，其退出点由硬性通过/失败渲染门控控制。我们将其实现为ResearchStudio-Reel，由五个Claude Code和Codex技能组成：一个共享提取器（Paper2Assets）、三个可编辑生成器（Paper2Poster、Paper2Video、Paper2Blog）以及一个交互式汇聚层（Paper2Reel）。Paper2Assets将每篇论文提取一次，形成共享数据包，可被所有下游技能复用；三个生成器分别生成可打印的海报、同步的演讲视频和双语博客，确保事实一致，并支持在PowerPoint或Word中往返编辑；Paper2Reel将三者绑定到一个自包含HTML查看器中，通过按节点击可在视频、幻灯片、字幕和博客之间跳转到匹配内容。在Paper2Poster基准测试中，我们的海报在美学和信息的所有子标准上均优于以往的自动化系统和单次前沿大语言模型，在两位留出的视觉语言模型评委评审下，其美学评分甚至超过了作者原版海报，并在84%至93%的论文中全面获胜；能力审计进一步表明，通过将叙述同步的幻灯片高亮与感知布局的DOCX修复相结合的双语博客这一独特设计，ResearchStudio-Reel是唯一能够交付全部三种可编辑制品的流水线。项目地址：https://aka.ms/ResearchStudio

English

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