When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring
Automated essay scoring (AES) research has largely focused on cross-prompt generalization, where essays from unseen prompts are scored while the scoring criteria are typically held constant. In practice, however, educators may revise or even introduce new rubrics in their scoring task, to evaluate different aspects of essays. We study cross-rubric generalization: training on essays labeled under one set of rubrics and evaluating on previously unseen rubrics, which target different aspects of the essay. We use a Large Language Model (LLM) fine-tuning framework with two components: rubric-agnost
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- FuzzyOverlapping authors or contributors · 62%google-research/google-research →
“Shared author/contributor keys: sun”
- LinkedLinked via arxiv author · 85%Nischal Ashok Kumar →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”
- LinkedLinked via arxiv author · 85%Payu Wittawatolarn →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”
- LinkedLinked via arxiv author · 85%Sana Kang →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”
- LinkedLinked via arxiv author · 85%Marisa C. Peczuh →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”
- LinkedLinked via arxiv author · 85%Blair Lehman →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”
- LinkedLinked via arxiv author · 85%Ryan Baker →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”
- LinkedLinked via arxiv author · 85%Caitlin Mills →
“When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring”