Hao Liang

Researchers from Peking University, the University of the Chinese Academy of Sciences, and Zhongguancun Academy built OmniEdu, an open family of K–12 learning-and-teaching foundation models, trained with a capability-oriented instruction corpus organized around subject competence, curriculum grounding, diagnostic reasoning, and pedagogical action and scaffolding (69,999 examples and 15.96M supervised response tokens, of which 60,951 examples and about 12.0M tokens are education-specific), fine-tuning 4B, 9B, and 27B backbones with full-parameter supervised fine-tuning and reporting consistent gains at every scale on curriculum-grounding, K–12 problem-solving, and pedagogical-tutoring benchmarks, with OmniEdu-27B reaching 63.12% EM / 76.69% F1 on K12-Bench, 85.89% on MathFish, 86.

Researchers from Peking University, the University of the Chinese Academy of Sciences, and Zhongguancun Academy built OmniEdu, an open family of K–12 learning-and-teaching foundation models, trained with a capability-oriented instruction corpus organized around subject competence, curriculum grounding, diagnostic reasoning, and pedagogical action and scaffolding (69,999 examples and 15.96M supervised response tokens, of which 60,951 examples and about 12.0M tokens are education-specific), fine-tuning 4B, 9B, and 27B backbones with full-parameter supervised fine-tuning and reporting consistent gains at every scale on curriculum-grounding, K–12 problem-solving, and pedagogical-tutoring benchmarks, with OmniEdu-27B reaching 63.12% EM / 76.69% F1 on K12-Bench, 85.89% on MathFish, 86.