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  3. 大模型科研工具创新赛
OpenAtomLLMAdvancedRegistration unverified

大模型科研工具创新赛

A advanced llm competition requiring roughly 24–80 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
24–80 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

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。

Read the original official blurb
本赛项要求参赛队伍实现基于检索增强的多智能协作的结构化长文献综述生成的技术方案,可以稳定产出质量较高的长文本文献综述。 Official category: 实战竞技赛. Organizers: 华为技术有限公司. Participants: 5.

Preparation

From registration to a first submission

  1. 01

    检索增强生成(RAG)

  2. 02

    多智能体编排

  3. 03

    大模型微调

  4. 04

    PDF文献解析

  5. 05

    引文溯源

  6. 06

    Docker镜像构建

Before you commit: 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。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Dec 4, 2024

Entry assessment

est.
30

Prepare before joining

Overall fit estimate

Beginner fit30/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Dec 4, 2024
Source created
Dec 4, 2024
Published on this site
Jul 21, 2026

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.