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most citedCan LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction

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cs.CL2024

RuleR: Improving LLM Controllability by Rule-based Data Recycling

Ming Li, Han Chen, Chenguang Wang +3

Large language models (LLMs) still lack delicate controllability over their responses, which is critical to enhancing their performance and the user experience. However, curating s…