# V-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics Exams

arXiv: https://arxiv.org/abs/2509.12251 · HTML: https://mlsanity.com/paper/2509.12251/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Placed in Educational agents and math problem solving, one of 16 directions in LLM agents and tool use.
- Builds on 9 of its 25 references that are in the map.
- First posted on arXiv 12 Sep 2025.

## Placed in

- LLM agents and tool use / [Educational agents and math problem solving](https://mlsanity.com/agents/educational-agents-and-math-problem-solving/)

## Builds on (most cited first, 9 of 9)

- [Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline](https://mlsanity.com/paper/2507.15855/) (2025)
- [Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination](https://mlsanity.com/paper/2306.06331/) (2023)
- [Review of Case-Based Reasoning for LLM Agents: Theoretical Foundations, Architectural Components, and Cognitive Integration](https://mlsanity.com/paper/2504.06943/) (2025)
- [Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving](https://mlsanity.com/paper/2507.06804/) (2025)
- [A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction](https://mlsanity.com/paper/2412.03765/) (2024)
- [Can ChatGPT pass the Vietnamese National High School Graduation Examination?](https://mlsanity.com/paper/2306.09170/) (2023)
- [ChatGPT is Good but Bing Chat is Better for Vietnamese Students](https://mlsanity.com/paper/2307.08272/) (2023)
- [Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI](https://mlsanity.com/paper/2412.16543/) (2024)
- [Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware Intervention](https://mlsanity.com/paper/2508.01604/) (2025)

## Built on by (most cited first, 1 of 1)

- [Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence](https://mlsanity.com/paper/2605.14266/) (2026)

## Abstract (arXiv)

This paper develops an autonomous agentic framework called V-Math that aims to assist Vietnamese high school students in preparing for the National High School Graduation Mathematics Exams (NHSGMEs). The salient framework integrates three specialized AI agents: a specification-matrix-conditioned question generator, a solver/explainer for detailed step-by-step reasoning, and a personalized tutor that adapts to student performance. Beyond enabling self-paced student practice, V-Math supports teachers by generating innovative, compliant exam questions and building diverse, high-quality question banks. This reduces manual workload and enriches instructional resources. We describe the system architecture, focusing on practice modes for learners and teacher-oriented features for question generation. Preliminary evaluations demonstrate that V-Math produces matrix-aligned exams with high solution accuracy, delivers coherent explanations, and enhances the variety of practice materials. These results highlight its potential to support scalable, equitable mathematics preparation aligned with national standards while also empowering teachers through AI-assisted exam creation.