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This work has developed a general-purpose AI tutor system that can process student questions in foreign languages and provide bilingual responses, and incorporates the functionality of generating a glossary of technical terms and their explanations to enhance comprehension.
These extensions focus on two approaches: curriculum learning and inference-time iterative feedback, where a Qwen-2.5-7B-Instruct model is used as a critic to provide corrective advice on previous round’s incorrect answers, allowing the model to learn from its own mistakes and make revisions.
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