Core Insights - Alibaba's AI flagship application Quark has generated over 10 million professional-level college application reports for students and parents, marking it as the largest application of deep research technology in China [1][2] - The "Application Report" is a core feature launched this year, being the only agent capable of generating complete application reports, showcasing high levels of personalization and strategic planning [1][2] Group 1 - The agent utilizes deep research technology with capabilities in task planning, execution, checking, and reflection, providing near-expert level decision-making support [1] - During execution, the agent dynamically optimizes application plans through a multi-round mechanism of tool invocation and reflective adjustments, adapting to user preferences and constraints [1] - The agent can handle complex and contradictory requests, triggering a "demand clarification" process to address potential mismatches in user choices, which is a significant advancement over traditional tools [2] Group 2 - The application report represents a key application of Quark's deep research technology in specialized scenarios, with a high user recognition rate reflected in over 40% download and sharing rates among initial users [2] - Quark's algorithm lead emphasized that deep research technology has transformed AI into an expert assistant for users, addressing complex needs that conventional search methods cannot fulfill [2]

Core Insights - The article discusses the evolving landscape of AI-assisted college application services, particularly in the context of high school students filling out their college applications in China. It highlights the limitations of current AI services and the potential for future advancements through deep reasoning technology. Group 1: Current State of AI College Application Services - The popularity of high-priced college application services is on the rise, with products priced at 12,999 yuan and 18,999 yuan selling out quickly [1] - Current AI college application products primarily rely on database technology, matching students' information with historical admission data to generate recommendations [2][3] - The main products in the market before 2024 are based on data filtering rather than advanced AI models [2] Group 2: Advantages of Deep Reasoning Technology - Deep reasoning technology is expected to enhance the accuracy of college application recommendations, addressing the complexities of individual student profiles [5] - The technology allows for real-time information retrieval from the internet, providing more targeted advice compared to traditional database-linked products [3] - A notable improvement in deep reasoning models has been observed, with significant advancements in performance, such as achieving a score of 145 in a national math exam [3][4] Group 3: Innovations in AI College Application Products - New algorithms utilizing graph embedding technology have been developed to analyze the relationships between different colleges and majors, improving the recommendation process [5] - The introduction of a "volunteer report" feature simulates the decision-making process of a human advisor, enhancing user experience and accuracy [6][7] - The AI college application services are becoming more accessible and affordable compared to traditional services, which can cost thousands of yuan [8] Group 4: Limitations and Future Outlook - Despite advancements, AI college application services still have shortcomings, such as occasional inaccuracies in recommendations, indicating that human advisors remain essential [9] - The collaboration between AI and human advisors is seen as complementary, with AI helping to bridge information gaps in the college application process [9] - The ongoing development of AI technology is expected to lead to a more rational and informed college application market [9]

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]