Overview
Who this competition fits
Advanced practitioners with experience in machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
随着大语言模型在企业知识问答、政策咨询、合同审查、业务审核等场景中的广泛应用，如何让人工智能基于已有材料给出准确、可靠且能够验证的结论，已经成为智能问答系统落地过程中的重要问题。 在实际业务中，一个问题所需的信息往往分散在多份材料中。不同材料可能使用不同名称描述同一主体，也可能存在适用范围不同、关键事实缺失、记录版本不一致或信息相互冲突等情况。系统不仅… Official track: 大模型技术. Sponsor: 科大讯飞股份有限公司. Teams entered: 202.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.
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
- Jul 30, 2026