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Hong Qian

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#artificial intelligence Review Sep 2026

ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment

Automatic Item Generation (AIG) is pivotal for personalized education, yet guaranteeing the pedagogical value of generated items remains a bottleneck. Existing Item Quality Assessment (IQA) methods typically rely on unscalable manual reviews or shallow stem-based metrics, failing to capture the reasoning process requir...

Jun-Kai Tong, Ming-Jia Li, Hao-Ran Chen et al. · 0 citations

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation

This work proposes OptSkills, an archetype-centric skill learning and reasoning agent system for optimization modeling and solving that achieves a state-of-the-art micro-averaged accuracy of 68.27% on datasets encompassing diverse problem types and scenarios.

Haochen Yang, Keyu Zhao, Mengyuan Ma et al. · 2 citations · ⚡1

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