AINeutralarXiv โ CS AI ยท Mar 34/106
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Optimizing In-Context Demonstrations for LLM-based Automated Grading
Researchers introduce GUIDE, a new framework for improving automated grading of student responses using large language models. The system addresses key limitations in current LLM-based grading by optimizing the selection of training examples and generating better explanations for scoring decisions.