Natalia Gordo-Herrera

Semantic anchoring with concise ideal answers outperforms unstructured full course materials as context for multi-LLM automated grading of open-ended questions

Large language models (LLMs) are increasingly used to grade open-ended student responses, yet the role of contextual input in this process remains poorly understood. This study compares three context conditions for multi-LLM automated grading: no context, full course materials, and instructor-defined ideal answers...