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  3. CCKS2026-任务五:大模型知识密集型推理评测
TianchiLLMAdvancedRegistration unverified

CCKS2026-任务五:大模型知识密集型推理评测

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
To be confirmed
Compute
Single GPU
OverviewPreparationSource

Overview

Who this competition fits

Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.

Read the original official blurb
本次评测聚焦知识密集型推理的复杂性:模型不仅需要从文本、图谱或表格中识别显性信息,还必须在跨文档、跨关系链和跨维度数据之间整合证据,并在此基础上推断隐含的推理路径。 Official category: AI Large Model Competition (AI大模型赛). Official tags: 学术顶会论文发表. Teams entered: 151.

Preparation

From registration to a first submission

  1. 01

    Python basics

  2. 02

    Transformer or LLM workflow basics

  3. 03

    prompting or evaluation workflow

  4. 04

    competition submission workflow

Before you commit: Task framing, data access, and evaluation details live mainly on the official page and may require careful reading.

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
Apr 29, 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

Competition ends
Jul 31, 2026

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
Apr 29, 2026
Published on this site
Jul 18, 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.

This record is a track under a Tianchi series competition; prize amounts may be series-level totals.