Core Viewpoint - Quark has launched the first domestic high school entrance examination volunteer filling model, providing personalized services for students through advanced AI capabilities [1][2]. Group 1: Model Features - The Quark high school entrance examination volunteer model includes three core functions: "Deep Search," "Volunteer Report," and "Smart Volunteer Selection," designed to offer expert-level decision-making capabilities [1][2]. - The "Volunteer Report" operates as an agent, providing personalized planning suggestions based on students' scores, interests, family background, and regional preferences, generating a comprehensive report that includes strategies and recommendations [2][3]. Group 2: Training Mechanism - The model is built on a multi-stage, high-complexity training paradigm, utilizing self-supervised semantic modeling and expert-guided strategy refinement to enhance its reasoning and decision-making abilities [4][5]. - The instruction fine-tuning phase involves structuring the communication and decision-making processes of experienced volunteer planners, extracting analysis paths and language styles from real conversations [7]. Group 3: Knowledge Base - Quark's model is supported by the largest real-time updated knowledge base in the country, covering over 2,900 universities and nearly 1,600 undergraduate programs, ensuring comprehensive data on admission scores, program settings, and course systems [8][9]. - The knowledge base also includes employment-related information and industry trends, providing robust support for decision-making in volunteer filling and job prospects [9].

Core Viewpoint - The article discusses how advancements in technology, particularly large models, are transforming the complex and information-dense process of college entrance exam application in China, making it more data-driven and logical rather than relying on luck and experience [2][10]. Group 1: Challenges in Traditional College Application Process - A significant number of students (approximately 130 million) lack access to expert advice during the college application process, leading to a reliance on limited resources and information [1]. - The traditional process is characterized by a lack of personalized guidance, resulting in many students making uninformed decisions about their future [1]. Group 2: Technological Advancements and Solutions - Quark has developed a large model specifically for college application, offering features like "deep search," "application report," and "intelligent application selection" to provide personalized recommendations based on individual circumstances [2]. - The model integrates data from over 2,900 universities and 1,600 majors, along with historical score lines and employment data, creating a comprehensive knowledge base that enhances accessibility to information [2]. Group 3: Model Development and Optimization - Quark's model has undergone rigorous training, utilizing insights from hundreds of application experts to simulate expert decision-making processes [5][6]. - The model employs a closed-loop optimization mechanism that includes expert feedback and strategy scoring to ensure the accuracy and relevance of the generated application plans [6]. Group 4: Market Dynamics and User Engagement - The demand for Quark's services has surged, with the platform assisting 30 million users in the previous year and achieving over 100 million uses of its AI search feature [9]. - The majority of users (50%) come from lower-tier cities, highlighting the platform's role in democratizing access to application resources [9]. Group 5: Future Implications and Market Potential - The article emphasizes the potential of large models to significantly impact the education sector, particularly as the number of college applicants is projected to reach a historical high of 14.5 million by 2025, while the enrollment plan remains at around 4.5 million [10]. - The technology is positioned not just as a commercial tool but as a means to genuinely assist individuals in navigating their educational paths [10].

你可能也听过这样的故事： 一起长大的朋友高考分数足够上个末流 211，但一本志愿全滑档，最后去了二本，成了该校历史最高 分； 乔布斯曾问比尔·盖茨：为什么科技几乎改变了所有领域，却唯独对教育的影响小得出奇？ 妹妹擅长理工科，想报计算机专业，却被爸妈一句 "程序员 35 岁就失业" 劝退，改报管理类，大学四 年在背不懂的管理术语中挣扎； 把经验和运气，变成数据和逻辑 小镇做题家的同事，填志愿时连 "专业" 意味着什么都没弄清楚，只是跟风选了当年最热门的方向，如 今在并不适合自己的行业里日复一日内耗。 每年大概只有 2% 的考生能接触到志愿专家，剩下的 1300 万考生，可能经历了家长发动亲友、翻烂 学校手册、跑招生会、在小红书和知乎看帖的种种步骤后，依然改变不了资源有限、信息孤岛、一知 半解的局面。 但随着技术的进步，游戏规则正在发生改变。高考志愿填报，是典型的信息密集、决策复杂场景，天 然适合大模型落地。国内已经不少有模型能力，或者有数据积累的公司跃跃欲试。 已经服务 7 年高考的夸克，正试图让数据和大模型把这件原本靠 "大海捞针、经验、运气" 的事，变 成一件可以靠 "智能、数据、逻辑" 完成的事。 最近， ...

Core Insights - Quark has launched the first high school entrance examination (Gaokao) volunteer application model in China, providing personalized services for students in filling out their college applications [1][4][11] Group 1: Model Features - The Quark Gaokao volunteer model operates with expert-level decision-making capabilities, offering tailored planning advice based on students' scores, interests, family background, and regional preferences [4][5] - The model employs a chain reasoning process of "task planning - execution - checking - reflection" to generate comprehensive reports that include strategies for application, recommended colleges, and majors [4][9] - The "Deep Search" function allows users to input complex queries, which the model breaks down into specific needs, ensuring targeted and in-depth responses [5][11] Group 2: Training Mechanism - The model is built on a multi-stage, high-complexity training paradigm, integrating self-supervised semantic modeling and expert-guided strategy refinement [7][9] - It utilizes structured communication and decision-making processes from experienced volunteer planners to create high-quality supervised data for deep learning [9][12] - A closed-loop optimization mechanism is established through human feedback and model correction, enhancing the model's output accuracy and relevance [9][12] Group 3: Knowledge Base - Quark's model is supported by the largest real-time updated knowledge base in China, covering over 2,900 universities and nearly 1,600 undergraduate programs [11][12] - The knowledge base includes comprehensive data on college admission scores, program structures, and employment trends, ensuring the model's recommendations are data-driven and reliable [11][12] - Continuous updates and cross-verification mechanisms are in place to maintain the credibility and structure of the data used by the model [12]

Core Viewpoint - Quark has launched the first high school entrance examination (Gaokao) volunteer filling model in China, providing personalized decision-making services for students during the college application process [1][3]. Group 1: Features of the Quark Gaokao Volunteer Model - The model operates with expert-level decision-making capabilities, offering tailored volunteer filling services based on students' scores, interests, family background, and regional preferences [3][4]. - It utilizes a task planning-execution-check-reflection reasoning process to generate comprehensive reports that include strategies for application, recommended schools, and majors [3][4]. - The "Deep Search" function allows users to input complex queries, which the model breaks down into specific needs, ensuring targeted and in-depth responses [4][11]. Group 2: Training and Data Sources - The model is built on a multi-stage, high-complexity training paradigm, integrating self-supervised semantic modeling and expert-guided strategy refinement [7][9]. - It has structured the communication and decision-making processes of experienced volunteer planners, converting thousands of real expert reasoning chains into high-quality supervised data for deep learning [9][11]. - The knowledge base of the model is the largest in China, covering over 2,900 universities and nearly 1,600 undergraduate programs, ensuring comprehensive and authoritative data for decision-making [11][10]. Group 3: Optimization and Feedback Mechanism - The model employs a closed-loop optimization mechanism that incorporates simulated application scenarios, expert feedback, and strategy scoring to continuously refine its outputs [9][11]. - It aims to provide a comprehensive reference for every student and family by leveraging its advantages in information processing and understanding user needs [11].

录取工作采用什么方式？ 一般什么时间开始？ 高校招生实行计算机远程网上录取，各省（区、市）录取工作一般于7月上旬开始，8月底之前结束。 目前，多个省市公布了高考志愿的填报时间。 北京志愿填报工作于6月27日开始。 河南志愿填报于6月26日开始，普通本科批和艺术本科批志愿填报时间为6月30日至7月3日，普通高职批为7月5日至7月7日。 湖南志愿填报工作于6月26日开始。 2025全国高考志愿填报将于6月26日全面开启，考生们如何选择院校、专业？志愿填报模式、流程是怎样的？志愿填报的误区有哪些？一文速看↓↓↓ 山西志愿填报工作于6月27日开始。 贵州志愿填报工作于6月28日至7月2日进行。 山东志愿填报工作于6月29日开始。 安徽志愿填报工作于7月4日至7月7日进行。 更多地区的高考志愿填报时间，请关注"阳光高考"官网。 志愿填报前，要做哪些准备？ 01 熟悉政策 考生及家长需要对本省（区、市）的高考政策有一个全面且整体的把握，明确哪些政策至关重要，哪些与自身的切身利益紧密相关，以及重要政策在当年是 否发生变化。 02 收集信息 信息来源和获取渠道的可靠性至关重要。一般而言，考生及家长可以选择的权威渠道主要有：阳 ...

记者昨日从河南省教育考试院获悉，为方便高考生进一步熟悉并熟练掌握高考志愿网上填报系统和 填报流程，我省将于6月12日～13日面向2025年普通高考考生（对口、专升本考生及已被高职单招录取 的普通类考生除外）再次进行网上填报志愿模拟演练。 考生可于6月12日9：00～6月13日17：00登录河南省普通高校招生考生服务平台，按照相关要求进 行网上填报志愿模拟演练。此次模拟演练的批次为普通本科批、艺术本科批、体育本科批。省教育考试 院提醒广大考生，要妥善保管个人相关信息及密码，确保个人信息安全。考生填报志愿结束后，应使 用"退出系统"功能退出网上填报志愿系统。本次模拟演练所使用的有关高校招生计划数据、合格成绩信 息等均为模拟数据，仅用于本次演练，与正式填报志愿无关。 为深入实施"高考护航行动"，加强考生志愿填报指导服务，此次网上填报志愿模拟演练期间，省教 育考试院将继续开放我省2025年高考志愿填报辅助系统，为考生免费提供一站式、多维度的志愿填报信 息服务。考生可按照操作手册及时登录系统了解熟悉相关功能，科学选报志愿。高考志愿填报辅助系统 并非正式的志愿填报系统，主要是为考生提供志愿填报辅助服务，仅供大家参考使用。 ...

"高考志愿的填报是理性与感性共同作用下的最优选择，除了考虑招生要求外，考生也需要考量自 己对城市的喜爱、专业的偏好以及对未来就业领域的计划，从而做出无悔的决定。"章晓明提醒道，为 助力考生填好高考志愿，目前部分地区官网已上线志愿填报辅助系统，建议考生登录系统进行模拟演 练，按照"冲—稳—保"原则绘制志愿梯度。 原标题：高考之后，这样解锁"黄金假期" "我希望今年能如愿考上重庆或长沙的大学。高考之后，我打算好好研究下相关高校的报考指南， 并充实地度过这个暑假，最起码得先把驾照考了！"近日，安徽马鞍山中加双语学校高三学生姜妍兴奋 地向记者讲述她的假期计划。 如何合理规划高考后的这段时间，成为不少考生和家长的关注焦点。为此，科技日报记者采访了西 南政法大学本科招生办公室执行主任章晓明。 以理性规划叩响未来之门 高考后的志愿填报是考生最关心的事情之一，了解目标院校招考条件、志愿填报时间以及报考过程 中的注意事项等尤为重要。 章晓明建议，在填报志愿前，家长和考生应通过阳光高考平台以及当地考试院和目标院校官方网站 等权威渠道，仔细研读所在地区高考政策，掌握高考分数查询和志愿填报时间，以及高校本科招生章 程、招生计划、历年 ...

Core Viewpoint - The article provides a comprehensive overview of the 2025 National College Entrance Examination (Gaokao) results announcement and the subsequent college application process, emphasizing the importance of timely information collection and strategic decision-making for students and parents. Summary by Sections Examination Results Announcement - Various provinces have set their Gaokao results announcement dates primarily between June 23 and June 25, 2025, with specific details for Shanghai, Hebei, Liaoning, and others [1][2][3][4]. Data and Tools for College Selection - The article highlights the role of the commercial data platform Qichacha, which connects data on higher education institutions, disciplines, and employment opportunities, aiding students in making informed decisions about college and major selection [3][5]. Tips for Filling Out College Applications - **Early Information Gathering**: Students should start collecting information early, as results are typically released about 20 days after the exam, and application processes begin shortly thereafter [7]. - **Understanding Score Rankings**: It is crucial to determine one's score ranking within the province to make informed choices about potential colleges [8]. - **Interest-Driven Choices**: Students should consider their interests and strengths when selecting majors, as this will impact their motivation and success in college [10]. - **Avoiding Blind Pursuit of Popular Majors**: The article advises against solely chasing popular majors due to intense competition and changing job market demands [13][14]. - **Regional Development Considerations**: The choice of city for college can significantly affect future job opportunities, with a focus on economic development and local job markets [18]. - **Thorough Review of Admission Guidelines**: Students should carefully read the admission guidelines of their chosen colleges to understand specific requirements and avoid potential pitfalls [20].

Core Points - The national college entrance examination (Gaokao) for 2025 has concluded, with various regions announcing the dates for score inquiries and application filling [1] Group 1: Score Announcement Dates - Tianjin is expected to announce scores and cutoff lines on June 24, with application filling from June 25 to 29 [3] - Inner Mongolia will release scores on June 24 at midnight, with multiple inquiry methods available [4][5][6] - Guangxi plans to open score inquiries on June 25, with the lowest control score line announced the same day [7] - Sichuan will announce scores on the evening of June 25 [8] - Hebei is expected to release scores around June 25 [9] - Gansu will announce scores and cutoff lines around June 25 [10] - Jiangxi anticipates score announcements around June 25, with a two-phase application filling process [12][13] - Henan is set to announce scores on June 25, with application filling starting on June 26 [14] - Jiangsu will allow score notification printing on June 25 [15] - Shanxi will announce scores on June 25, with application filling starting on June 27 [17] - Chongqing expects to release scores on June 25, with specific inquiry methods outlined [18][19] - Zhejiang plans to announce scores around June 26 [21] - Shandong will release summer exam scores by June 26 [22] - Liaoning is expected to announce scores in late June [23] Group 2: Application Filling Processes - Tianjin will conduct application filling training from June 16 to 18 [3] - Jiangxi's first phase of application filling is scheduled for June 26 to July 1, with a second phase from June 30 to July 4 [12][13] - Henan's application filling will occur in three phases starting June 26 [14] - Chongqing's application filling is set for June 27 to June 30 [19] - Zhejiang's first round of application filling will take place from June 29 to 30 [21]