In recent days, the admission results of undergraduate batches in various provinces across the country have been gradually opened for inquiry. Filling out college entrance examination preferences has always been regarded as one of the major decisions in life. More and more people are paying attention to the development and impact of AI in the field of college entrance examination application. AI consultants provide personalized services for candidates to search for keywords such as "volunteer" and "college entrance examination" on mobile application platforms, with dozens of related apps available. After QQ Browser launched the college entrance examination agent "AI Gaokao Tong" in May this year and Baidu AI Volunteer Assistant integrated multiple large models, on June 12th, Alibaba's Quark launched its first college entrance examination volunteer large model and volunteer report agent. I scored 588 in the college entrance examination and enjoy working with people. After graduation, I want to stay in a first tier city. ”Zhao Meng, a candidate in the history group of Tianjin, typed this line of text in the Q&A box of Quark AI after checking her grades. Faced with such personalized and open-ended complex questions, AI Gaokao Tong first automatically identifies key information, finely decomposes user needs, and then provides targeted suggestions from four dimensions: major selection, school selection strategy, city and university balance, and volunteer filling skills through information query and algorithm analysis. Zhao Meng said that the AI volunteer report distinguishes the gradient of impact, stability, and minimum guarantee volunteers, and focuses on recommending majors such as education, law, and management, making her feel like she "found her way through a mess in an instant". At Yongshun County No.1 Middle School in Hunan Province, a parent of a student expressed the difficulties faced by rural students when filling out their college application forms, such as insufficient information acquisition, lack of personalized counseling, and inability to afford high consultation fees, demonstrating the urgent need for access to high-quality college entrance examination service information in underdeveloped areas. To this end, in June of this year, Quark teamed up with the New Media Center of Xinhua News Agency to launch the fourth season of the "Warmth Plan" college entrance examination public welfare activity, which has visited urban schools in counties such as Hunan, Guizhou, and Hainan. Senior professionals provide free guidance for students and parents in remote areas to fill out their college applications, as well as AI tool tutorials - the "2025 College Entrance Examination Volunteer Application Tool Usage Guide" written by the Shenyang Professor Team of Tsinghua University using Quark's college entrance examination volunteer model as an example. Every search by a candidate is a real life decision, and the responsibility of creating a good model for college entrance examination preferences is very heavy. ”Jia Haifeng, the product manager of Quark College Entrance Examination, said that seven years ago, Quark entered the college entrance examination application process with the aim of lowering the threshold for candidates and parents to apply, solving real problems, and creating new experiences. As of now, Quark's college entrance examination product has served over 160 million users, with more than 50% of candidates and parents coming from third tier and below cities. To make every AI volunteer recommendation more reliable and every report more accurate, it is necessary to solidly polish the database and algorithm technology behind the model, while expanding the investment in computing power. Unlike common general models that mostly rely on online articles or historical data, the Quark College Entrance Examination Volunteer Model is equipped with a large, real-time updated, and structurally rigorous knowledge base for the college entrance examination. This knowledge base not only includes score lines and teaching information for over 2900 universities and nearly 1600 undergraduate majors across the country, but also provides real-time updates on provincial college entrance examination policies and authoritative interpretations, as well as employment reports and industry trend planning for college graduates. Through multiple mechanisms such as OCR (Optical Character Recognition) information extraction, multi-source data cross comparison, and manual sampling, this knowledge base ensures the authority and verifiability of the college entrance examination volunteer model from the source. With solid data support, how can AI volunteer application tools complete thinking and decision-making? Baidu was one of the earliest to enter the college entrance examination information service, releasing the "application query function" and upgrading its functions annually based on the needs of college entrance examination candidates. Today, it covers the hot search trend of college entrance examination and ranking data, and supports the call of many big models such as ERNIE Bot, Tongyi Qianwen and Deepseek. The Quark College Entrance Examination Volunteer Model is based on the technical foundation of Tongyi Qianwen, and is trained on tens of thousands of inference data provided by hundreds of college entrance examination volunteer planners. The volunteer proposals generated by the model are then evaluated by experts in multiple dimensions, scoring each item to form a feedback loop. Jiang Guanjun, the head of Quark Algorithm, said that in order to ensure that the product can meet the generation needs of a large number of users, Quark has increased its computing power investment by 100 times this year and will continue to provide free services. Is it feasible to 'copy AI answers with closed eyes'? In addition to the mini programs, software, or embedded modules launched by enterprises for college entrance examination application, there are two other types of AI assisted application tools available on the market. There are two types of AI assisted systems: one is domestic AI free and open platforms such as DeepSeek and Doubao, and the other is officially launched AI assisted systems, such as the "Smart Recruitment" AI assistant launched by the Ministry of Education this year. In addition, 31 provinces across the country have opened provincial-level volunteer application reference systems this year, and candidates can directly access them through the Ministry of Education's "Sunshine Volunteer" main platform with one click. The rich and diverse AI volunteer application tools have to some extent broken the information gap and expanded channels for candidates and parents to collect information on colleges and majors. So as a user, can you really rest assured by "copying answers with your eyes closed"? On social media platforms, some netizens have mentioned: "The admission ranking estimated by AI is inaccurate," "Last year, the guaranteed admission recommended by AI slipped," "My favorite university has reduced enrollment this year, and AI did not include this information, so it seems that the information is still lagging behind." Experts say that the reliability of AI depends on the accuracy, timeliness, and completeness of data, and in this regard, official auxiliary systems have more advantages. At the same time, multiple platforms should be used for questioning and mutual verification. More importantly, AI tools ultimately provide data-driven reference information and strategic frameworks, and may not necessarily take over value judgments related to individual deep needs. As a self media blogger praised in a video, "AI is after all a machine. It can analyze data and tell you that a certain profession is good for employment and has high cost-effectiveness. However, it is difficult to fully understand your deep love for a certain profession or your inexplicable feelings for a certain city. ”Therefore, when determining the institution and major, candidates still need to find a balance between technical assistance and independent judgment. After all, voluntary application is not only a plan for the future, but also an active choice made by individuals based on their self-awareness. (New Society)