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Fei Tan

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#artificial intelligence Preprint Oct 2026

HACHIMI-II: From Role-Play to Learner Behavior Modeling for Faithful Student Simulation

Simulated students let researchers test tutoring systems and teaching strategies before real learners are available, but only if the simulation reproduces where a particular learner succeeds and fails. The common approach asks a large language model to role-play a student, but a role does not model what this learner kn...

Yi-Lin Jiang, Fei Tan, Xuan-Yu Yin et al. · 0 citations
Preprint Aug 2026

ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models

ELBench is introduced, the first benchmark to evaluate all four requirements (General Capability, Safety and Trustworthiness, Basic Education, and High-Level Cultivation) on the same models under a common protocol, combining curated public sources with newly synthesized safety and cultivation data.

Yi-Lin Jiang, Xiao-Rong Zhu, Fei Tan et al. · 0 citations
Preprint Aug 2026

ADE: Agentic Data Evolution Framework for Human-Centered Objectives

Agentic Data Evolution is proposed, a data-centric framework that organizes synthetic supervision as evolving data snapshots through a closed-loop Observation-Variation-Selection procedure, where a steady-state admission mechanism acts as a quality ratchet that conservatively gates updates for sustained cross-round imp...

Yang Yu, Yi-Lin Jiang, Zexuan Fei et al. · 0 citations

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