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Paper

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation

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AI summary

arXiv:2605. 19316v1 Announce Type: new Abstract: Recent studies in difficulty-controlled reading comprehension item generation have leveraged large language models (LLMs) to produce items by adjusting difficulty-related features.