Confusion-Aware Rubric Optimization for LLM-based Automated Grading

arXiv:2603.00451v1 Announce Type: new Abstract: Accurate and unambiguous guidelines are critical for large language model LLM based graders, yet manually crafting these prompts is often suboptimal as LLMs can misinterpret expert guidelines or lack necessary domain specificity.