Overview
Papers with Code is a paper discovery platform for AI/machine learning researchers and developers. The core value is to put papers, code implementations, datasets, methods and evaluation lists in the same information link to help users understand research progress in one direction faster, rather than just "read the title of the paper". In addition to tracking research by task, Papers with Code also supports browsing papers by meeting. Mainstream AI conferences such as ICLR, NeurIPS, and CVPR can continue to be broken down by research direction and task, and accompanied by code, project links, evaluation results, and other information, which is more suitable for systematic search and trend observation. [Product Features] Popular papers and trend discovery: The platform supports browsing popular AI papers, and organizes content by task, method, and field, so that it is easy to quickly understand what is being paid attention to, who is doing it, and to what extent. Task/Domain Navigation: Supports the viewing of research content by task or domain, such as OCR, Q&A, image classification, Agents, World Models, etc., and can continue to extend to methods, datasets, and list results under each direction. Thesis and code correlation: one of the core values of the platform is to correlate the thesis with the corresponding code implementation to help users find reproducible
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Papers with Code 是一个面向 AI / 机器学习研究者与开发者的论文发现平台，核心价值是把论文、代码实现、数据集、方法与评测榜单放到同一条信息链路里，帮助用户更快看懂一个方向的研究进展，而不是只停留在“看过论文标题”这一步。除了按任务追踪研究，Papers with Code 还支持按会议浏览论文。像 ICLR、NeurIPS、CVPR 这类主流 AI 会议，都可以按研究方向和任务继续细分查看，并附带代码、项目链接、评测结果等信息，更适合做系统性检索和趋势观察。【产品功能】热门论文与趋势发现：平台支持浏览热门 AI 论文，并按任务、方法和领域组织内容，方便快速了解某个方向最近在关注什么、谁在做、做到了什么程度。任务 / 领域导航：支持按任务或领域查看研究内容，例如 OCR、问答、图像分类、Agents、World Models 等，每个方向下都能继续延展到方法、数据集和榜单结果。论文与代码关联：平台的一个核心价值，就是把论文和对应的代码实现关联起来，帮助用户更快找到可复现项目，而不是自己手动去 GitHub 里碰运气。