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  3. CCKS2026-任务七:大模型行为调控评测

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TianchiLLMAdvancedRegistration unverifiedRegistration unverified

CCKS2026-任务七:大模型行为调控评测

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

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

22/100

Higher means a safer real starting point for your current stage.

Learning value

76/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

20-50 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Ti…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

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

Official blurb (unedited)
近年来,围绕大模型知识调控的方法逐步形成体系,包括参数微调、检索增强(RAG)以及局部知识编辑等技术路径。在此基础上,steering(行为引导与调控)作为一种新技术,正受到越来越多关注。与直接修改模型参数不同,steering强调在推理阶段对模型行为进行动态引导与调控,即通过对中间表示或输出分布施加干预,实现对知识表达、事实生成及行为属性的精细控制,从而在不改变模型权重的前提下完成知识层面的“软编辑”。 Official category: AI Large Model Competition (AI大模型赛). Official tags: 自然语言处理, 第三方竞赛, 大语言模型. Teams entered: 168.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

BaselineEasyEdit2 Steering baseline framework
TutorialSteerEval dataset documentation
DataSteerEval Personality training split
DataSteerEval Personality validation split
DataQwen3-4B-Instruct-2507 competition model
Support channel

Official DingTalk participant group

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

Python basics

Transformer or LLM workflow basics

prompting or evaluation workflow

competition submission workflow

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

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

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

A simple framework for choosing a competition that teaches instead of overwhelming you.

How to Choose Your First AI Competition

Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Event timeline
Event ends · Aug 15, 2026
Reward
CNY 5,000
Compute
Free GPU OK
Official metric
Official scoring is published on the Tianchi competition page.
Verification
Source page verified

Registration is unverified; confirm availability on the official page before investing.

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Official source

Rules, files, submission details, and the live deadline still come from the official page.

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Source published
May 5, 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.