Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
近年来人工智能在自然语言处理领域取得了巨大的进展。其中一项引人注目的技术是生成模型，如OpenAI的GPT-3.5。这类模型通过学习大量的文本数据，具备了生成高质量文本的能力，从而引发了一系列关于文本生成真实性的讨论。 正因为生成模型的迅猛发展，也引发了一个新的挑战，即如何区分人类编写的文本与机器生成的文本。传统上，我们借助语法错误、逻辑不连贯等特征来… Official track: 自然语言处理. Sponsor: 科大讯飞xDatawhale. Teams entered: 1012.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic familiarity with LLM tooling or agent/skill workflows
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
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
- iFlytek Challenge
- Last checked
- Jun 30, 2023