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  3. 知乎知学堂大模型挑战赛:大模型复杂表格识别与内容理解
TianchiLLMAdvancedRegistration open

知乎知学堂大模型挑战赛:大模型复杂表格识别与内容理解

A advanced llm competition requiring roughly 20–50 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
20–50 hours
Registration deadline
Sep 30, 2026
Compute
Single GPU
OverviewPreparationSource

Overview

Who this competition fits

适合已有文档智能处理或多模态大模型应用经验的个人参赛者,能够用通义千问及阿里云云端工具搭建自动化流程,从图片或 PDF 中读取复杂业务表格并生成 Excel 答案。也适合熟悉 OCR、表格结构恢复和基础数值处理的开发者;本赛题不允许多人组队。

Read the original official blurb
本赛题面向图片和 PDF 文件中的复杂表格识别与内容理解。参赛者需要读取 题目清单,识别目标文档中的表格结构和表格内容,并完成结构恢复、内容提取 或简单推理计算,最终提交可自动评分的 Excel 结果文件。 Official category: AI Large Model Competition (AI大模型赛). Official tags: 自然语言处理, 大语言模型. Teams entered: 929.

Preparation

From registration to a first submission

  1. 01

    通义千问 API 调用

  2. 02

    阿里云云端产品使用

  3. 03

    PDF 与图像 OCR

  4. 04

    表格版面分析

  5. 05

    JSON 结构化输出

  6. 06

    Excel 文件读写

Before you commit: 难点是面对跨页表格、合并单元格、多级表头、弱边框、旋转扫描及页眉脚注等干扰,既要恢复逻辑表格结构,又要按题意定位数据并完成推理。结构恢复还必须输出严格的 JSON 行列位置与合并关系,同时全流程只能使用阿里云来源的云端模型、工具和算力,且答案必须程序自动生成。

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
Tianchi
Last checked
Aug 6, 2026

Entry assessment

est.
22

Prepare before joining

Overall fit estimate

Beginner fit22/100
Learning value76/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Aug 6, 2026
Registration deadline
Sep 30, 2026
Competition ends
Dec 31, 2026

Data and review state

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

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Source page verifiedMetric confirmedReviewed
Source published
Aug 6, 2026
Published on this site
Sep 23, 2026

Official metric is not published on the Tianchi competition listing; scoring rules should be verified 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 amount.