Papers by Huixing Que

1 papers
One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment (2026.findings-acl)

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Challenge: Existing methods rely on a single high-capacity LLM to represent an entire population of diverse learners.
Approach: They propose an ability-aware student simulation framework that matches students with appropriate LLM backbones through cognitive alignment.
Outcome: The proposed framework significantly reduces simulation bias and outperforms single-model baselines across the entire proficiency spectrum.

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