Beginner score
30/100
Competition workspace
适合有大模型应用开发经验、能处理PDF学术文献的个人或小团队，尤其是做过RAG、多智能体流程或科研信息检索工具的人。参赛者还需要能将完整方案以可构建运行的代码仓库和设计文档交付。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合有大模型应用开发经验、能处理PDF学术文献的个人或小团队，尤其是做过RAG、多智能体流程或科研信息检索工具的人。参赛者还需要能将完整方案以可构建运行的代码仓库和设计文档交付。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
检索增强生成（RAG）
多智能体编排
大模型微调
PDF文献解析
引文溯源
Docker镜像构建
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是生成长文，而是在约2万篇PDF文献中检索和综合大量证据，生成结构清晰的综述，并把具体声明落实到句子或段落级引用来源。系统还要兼顾引用召回与精确、内容质量和生成速度，并能由评审方从仓库构建Docker镜像后运行评测。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.