Papers by Rongkeng Liang

1 papers
EducationQ: Evaluating LLMs’ Teaching Capabilities Through Multi-Agent Dialogue Framework (2025.acl-long)

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Challenge: Large Language Models (LLMs) are increasingly used as educational tools, yet evaluating their teaching capabilities remains challenging due to the resource-intensive nature of teacher-student interactions.
Approach: They propose a multi-agent dialogue framework that efficiently assesses teaching capabilities through simulated dynamic educational scenarios.
Outcome: The proposed framework outperforms open-source models on 1,498 questions across 13 disciplines and 10 difficulty levels on 1,400 questions.

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