"I got 549 points in the second simulation exam of senior high school in Zhengzhou, Henan Province, with a history score. The first batch admission line is 517 points. Can you recommend how to fill in the college entrance examination application?" As the college entrance examination approaches, this kind of question has become a typical way for candidates and parents to search and inquire.
Taking this question to traditional search engines, the top results are advertisements, followed by inaccurate web links. Replacing it with emerging AI chat tools, the search results often mix in引流pages from training institutions, low-quality experience sharing content, etc., which seems to be working hard but is actually wrong from the beginning.
To solve this industry problem, on May 27, Quark launched the industry's first "deep search" capability for the college entrance examination application scenario. Users only need to ask questions about the college entrance examination application naturally in the Quark search box and can experience it after selecting "deep search".
Filling in the application is a very typical scenario that requires "deep search" capabilities. There are nearly 3000 universities nationwide, involving countless majors, each with different admission scores and employment and postgraduate study data. For candidates and parents, it is like being lost in an information fog.
Quark's deep search capability for the college entrance examination is equivalent to a professional "application planning consultant". After understanding the user's intention, Quark will decompose it into four steps: converting the second simulation score into an effective college entrance examination score, querying possible application plans, analyzing the probability of admission to target schools, and providing personalized application plans of multiple levels after comprehensive evaluation. Based on this, users can further ask questions.
Throughout the process, there will be dynamic intelligent retrieval and multi-round verification. The retrieved data comes from Quark's self-built knowledge base of the college entrance examination, ensuring the professionalism and credibility of the data. The knowledge base not only has data on previous applications but also postgraduate study and employment data. Among them, employment data covers the employment direction of more than a thousand undergraduate universities across the country and employment data in more than 100 major cities.
In addition to ensuring authoritative and accurate retrieval data and experienced reasoning processes, in high-risk and strongly constrained scenarios such as college entrance examination application filling, reducing the hallucination rate of large models is very important. Based on the exclusive knowledge base for the college entrance examination, Quark uses retrieval-enhanced generation technology to significantly improve the correctness of content when answering complex questions. At the same time, using reinforcement learning can significantly reduce the phenomenon of inconsistency between the answer content and facts or questions.
This year marks the seventh year that Quark has been continuously providing free college entrance examination application filling services. The already launched simulated application function allows candidates and parents to pre-fill their applications based on simulated exam scores, gaining early awareness of different levels of application plans. For problems encountered in pre-filling regarding universities and majors, the "college entrance examination deep search" function can be used to solve them. Pre-exam pre-filling can effectively avoid potential risks, reduce blind filling situations, and get familiar with policies, organize data, and assess personal preferences in advance.
