HomeAlibaba Qwen Launches China's First Free Full-Cycle Gaokao Volunteer Filling Agent
On June 10, 2026, Alibaba Qwen launched the country's first comprehensive college entrance examination application assistant, offering free personalized guidance and consultation to millions of candidates nationwide. This initiative marks a significant expansion of large model applications into public welfare services.
Built on the Qwen College Entrance Examination Volunteer Large Model and enriched with eight years of Quark's exam data expertise, the tool features three core components: "Volunteer Calendar," "Volunteer Report," and "Volunteer Q&A." It applies established strategies such as the ranking method and delivers precise recommendations by integrating annual admission data and user behavior insights. After candidates input their selected subjects and estimated scores, the system generates a tailored "Volunteer Calendar" aligned with provincial timelines.
The newly upgraded "Volunteer Report" now incorporates dynamic adjustments and proactive recommendation capabilities, capturing detailed user preferences while adding forward-looking data on employment trends, civil service exam opportunities, and the impact of the AI era. Furthermore, the enhanced college entrance examination Q&A feature supports accurate score estimation across different years and includes a self-check mechanism to prevent overly skewed volunteer choices.
Industry data shows that over ten million students take the national college entrance exam each year, yet fewer than 5% of families can afford professional volunteer application advisors. By building an Agent scheduling system centered on the volunteer large model and optimizing for older devices and weak network conditions in rural areas, Qwen—working alongside the "Nuomang Public Welfare" initiative—has effectively removed regional and economic barriers to high-quality educational consulting. This achievement not only demonstrates the technical maturity of AI Agents moving from concept to high-value inclusive scenarios, but also provides a powerful model for large models empowering public social services.
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On June 10, 2026, Alibaba Qwen launched the country's first comprehensive college entrance examination application assistant, offering free personalized guidance and consultation to millions of candidates nationwide. This initiative marks a significant expansion of large model applications into public welfare services.
Built on the Qwen College Entrance Examination Volunteer Large Model and enriched with eight years of Quark's exam data expertise, the tool features three core components: "Volunteer Calendar," "Volunteer Report," and "Volunteer Q&A." It applies established strategies such as the ranking method and delivers precise recommendations by integrating annual admission data and user behavior insights. After candidates input their selected subjects and estimated scores, the system generates a tailored "Volunteer Calendar" aligned with provincial timelines.
The newly upgraded "Volunteer Report" now incorporates dynamic adjustments and proactive recommendation capabilities, capturing detailed user preferences while adding forward-looking data on employment trends, civil service exam opportunities, and the impact of the AI era. Furthermore, the enhanced college entrance examination Q&A feature supports accurate score estimation across different years and includes a self-check mechanism to prevent overly skewed volunteer choices.
Industry data shows that over ten million students take the national college entrance exam each year, yet fewer than 5% of families can afford professional volunteer application advisors. By building an Agent scheduling system centered on the volunteer large model and optimizing for older devices and weak network conditions in rural areas, Qwen—working alongside the "Nuomang Public Welfare" initiative—has effectively removed regional and economic barriers to high-quality educational consulting. This achievement not only demonstrates the technical maturity of AI Agents moving from concept to high-value inclusive scenarios, but also provides a powerful model for large models empowering public social services.
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