BTMR Paper Extractor is an AI-powered reading assistant that transforms complex academic papers into easy-to-read structured summaries. Built as a Cerebras Hackathon project, it supports importing from ArXiv links, PDF uploads, and web URLs, then automatically generates digestible summaries exportable as HTML and PDF.
Key Features
Multiple Import Methods — Import papers via ArXiv links, drag-and-drop PDF upload, or web page URLs.
AI Structured Summaries — Uses LLMs to automatically decompose papers and generate structured, digestible summaries — including analysis of figures and charts, not just text.
Paper Management — Built-in paper library with search and metadata management capabilities.
Bilingual Interface — Full i18n support with Chinese and English interfaces, responsive mobile-first design.
Results
- 9 GitHub Stars, 2 Forks, 66+ commits
- Built for the Cerebras Hackathon
- Real-time progress display via WebSocket — no page refresh needed
BTMR Paper Extractor 是一款 AI 论文阅读助手，把复杂论文变成易读的结构化摘要。作为 Cerebras Hackathon 参赛项目，支持从 ArXiv 链接、PDF 文件、网页等多种来源导入论文，AI 自动生成结构化摘要，支持导出为 HTML 和 PDF。
核心功能
多种导入方式 — 支持 ArXiv 链接、PDF 拖拽上传、网页链接导入论文。
AI 结构化摘要 — 利用大语言模型自动拆解论文，生成易消化的结构化摘要。论文中的图表也会纳入分析，不只处理文字。
论文管理 — 内置论文库，支持搜索和元数据管理。
双语界面 — 完整的中英双语界面支持，响应式 Mobile-first 设计。
成果
- GitHub 9 Stars、2 Forks、66+ commits
- Cerebras Hackathon 参赛作品
- 通过 WebSocket 实时显示处理进度，无需刷新页面