Core Viewpoint - The article discusses the launch of Quark's AI model for college entrance examination (Gaokao) volunteer reporting, which aims to provide a comprehensive and efficient solution for students and parents during the college application process, addressing the high costs and limited accessibility of traditional consulting services [1][3][9]. Group 1: Introduction to the AI Model - The Quark AI model is the first of its kind in China, designed to generate a complete volunteer report in just over 5 minutes [5][10]. - The model aims to democratize access to expert-level advice, as only about 2% of students currently utilize paid consulting services [2][10]. Group 2: Features of the Volunteer Report - The volunteer report includes a detailed analysis of the student's profile, strategies for filling out applications, and a summary of suitable universities categorized into three tiers: "ambitious," "stable," and "safety" [8][10]. - The report is generated for free, providing a significant advantage over traditional consulting services that can charge thousands of yuan [10]. Group 3: Technical Aspects of the AI Model - The AI model is tailored specifically for the complexities of the Gaokao volunteer application process, incorporating various admission policies and individual student needs [13][14]. - It utilizes a decision-making system that simulates the thought processes of human experts, considering factors such as student scores, interests, family background, and regional preferences [15][16]. Group 4: Development and Training of the Model - The model was developed through extensive training involving real conversations between experienced volunteer planners and students, capturing decision-making processes and language styles [22][24]. - A feedback loop involving expert evaluations ensures continuous improvement of the model's output, enhancing its reliability and accuracy [26][30]. Group 5: Data and Knowledge Base - The model is supported by a comprehensive knowledge base that includes information on over 2,900 universities and nearly 1,600 undergraduate programs, as well as employment trends and industry structures [29][30]. - The data is rigorously verified through multiple sources to ensure its accuracy and reliability, which is crucial for making informed decisions [30]. Group 6: User Experience and Accessibility - The AI model is easily accessible through the Quark app, allowing users to input their information and receive personalized reports quickly [35][36]. - Additional features include deep search capabilities for specific queries and intelligent professional recommendations based on user profiles [38][41].

Core Viewpoint - The article discusses how Quark's AI-driven solution for college entrance examination (Gaokao) applications provides a significant advantage to students and families, particularly those from ordinary backgrounds, by democratizing access to expert-level guidance in the college application process [4][8][50]. Group 1: Product Overview - Quark has developed a "Gaokao Volunteer Agent" that offers a free service to help students navigate the complexities of college applications, addressing the information gap faced by many families [8][9]. - The product includes three main features: "Deep Search," "Volunteer Report," and "Smart Selection," which work together to provide comprehensive support for students [10][35]. Group 2: User Experience - The "Volunteer Report" feature generates a personalized report for students, detailing application strategies, recommended schools and majors, and their respective admission probabilities [22][31]. - The report not only suggests what to apply for but also provides detailed reasoning behind each recommendation, enhancing the decision-making process for students [31]. Group 3: AI Training and Development - Quark's AI is trained using a proprietary database built over seven years, ensuring the accuracy and reliability of the information provided to users [41]. - A team of over a hundred experienced college application advisors contributed to the AI's training, allowing it to understand and process complex, personalized user needs effectively [42][43]. Group 4: Market Impact - Quark's service has reached over 120 million students and parents, with more than 50% of users coming from third-tier cities and below, highlighting its role in promoting educational equity [45]. - The efficiency of the service has significantly improved the college application process, with educators noting that it can enhance productivity by three to four times compared to traditional methods [46]. Group 5: Challenges and Costs - Despite the benefits, Quark faces substantial operational costs related to computing power and data maintenance to keep up with varying provincial policies [47]. - The article emphasizes that the technological advancements made by Quark represent a significant step towards educational fairness, allowing every child, regardless of their background, to have a clearer and more informed application process [50].

Core Insights - The article discusses the launch of a high school entrance examination (Gaokao) volunteer application model by Quark, a subsidiary of Alibaba, aimed at assisting students and parents in the decision-making process for college applications [1][2] - The model features three main functions: "Deep Search for Gaokao," "Volunteer Report," and "Intelligent Volunteer Selection," which simulate the decision-making process of experienced volunteer planners [1] Group 1: Model Features - The "Volunteer Report" operates as an agent, generating a comprehensive report that includes strategies for application, recommended schools and majors, based on 12 personal information points provided by the student [1] - The "Intelligent Volunteer Selection" function is the most frequently used, allowing students to input their province, subjects, scores, and rankings to receive tailored recommendations for their applications [2] Group 2: Development and Impact - The model was developed with the input of over a hundred volunteer planning experts, converting their thought processes into high-quality reasoning data, enabling the model to think like a volunteer expert [2] - The platform has served over 120 million students and parents, with more than 50% of users coming from third-tier cities and below, highlighting the demand for quality information in underdeveloped areas [2]

Core Insights - Quark has launched the first large model specifically designed for college entrance examination (Gaokao) volunteer application scenarios in China, featuring three main functions: "Deep Search for Gaokao," "Volunteer Report," and "Intelligent Volunteer Selection" [1] - Over the past seven years, Quark's Gaokao products have evolved from basic university and major search tools to AI-driven personalized recommendation systems, serving over 120 million users, with more than 50% from third-tier cities and below [1][3] - The introduction of the Agent model structure in 2025 aims to enhance the volunteer application logic significantly, with "Deep Search for Gaokao" being the core of this upgrade [1][3] Product Features - The "Deep Search for Gaokao" function breaks down complex natural language inquiries into sub-tasks, providing comprehensive suggestions rather than just links, which is a significant improvement over traditional search engines [2] - The "Volunteer Report Agent" generates a detailed report based on 12 questions related to scores, interests, and career inclinations, producing a 15-20 page document in 5-10 minutes, which includes admission probability analysis and risk alerts [2][3] - "Intelligent Volunteer Selection" is the most frequently used feature, automatically recommending three application strategies based on user input, enhancing the decision-making process for students [2] Model Development - The Gaokao volunteer model is built on the Tongyi Qianwen foundation and has undergone specialized training, incorporating methods like Chain-of-Thought Reasoning and human preference reinforcement learning to align with expert standards [3] - The training involved over a hundred Gaokao volunteer experts and thousands of simulated volunteer plans, creating a feedback loop that optimizes the model based on more than 10,000 samples [3] - The underlying knowledge base covers over 2,900 universities and 1,600 undergraduate programs, including various admission policies and employment data, sourced from authoritative institutions and rigorously verified [3] Market Context - The market features multiple platforms offering volunteer assistance services, each differing in data coverage, recommendation algorithms, update frequency, and interpretability, necessitating informed choices by students and parents [4]

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 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].

Group 1 - Quark has launched the first domestic model specifically designed for college entrance examination (Gaokao) volunteer application, featuring three core functions: "Deep Search," "Volunteer Report," and "Intelligent Volunteer Selection" [1] - The Gaokao Volunteer Model operates in an Agent manner, providing a complete report that includes strategies for application, recommended schools and majors, and automatically checks for logical conflicts and data omissions [4] - The model utilizes a multi-stage training process that incorporates self-supervised semantic modeling and expert-guided strategy refinement, allowing it to understand complex rules and user needs [4][5] Group 2 - The model's instruction fine-tuning phase involved structuring the decision-making processes of experienced volunteer planners, extracting analysis paths and language styles from real conversations with students and parents [5] - It generates verifiable structures during complex reasoning tasks, significantly reducing hallucination rates and enhancing cross-modal reasoning capabilities [5] - A closed-loop optimization mechanism has been established, incorporating simulated applications, expert feedback, and strategy scoring to continuously improve the model's output [5]