Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
大模型中的幻觉现象指的是模型生成的内容与现实世界的事实或用户的输入不一致的问题。这种现象通常分为两类：事实性幻觉和忠实性幻觉。而减轻幻觉现象的方法则根据致幻原因，从数据、训练和推理三个角度出发，包括数据清洗、改进模型架构、完善预训练策略、使用检索增强生成（RAG）等。在本次比赛中，我们将探索新的方法和技术，以减少AI模型中的幻觉现象，提升AI系统的可靠… Official track: 大模型技术. Sponsor: 科大讯飞xDatawhale. Teams entered: 69.
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
- Aug 30, 2024