Alice: A Large-Scale German Benchmark for Rubric-Based Multi-Dimensional Automatic Short Answer Scoring
Read the original on arXiv Computation and Language →Alice is a new large-scale German benchmark for Automatic Short Answer Scoring that focuses on rubric-based evaluation. It contains three subtasks—learning performance (Alice‑LP), knowledge elements (Alice‑KE), and skills (Alice‑SK)—and is designed to assess how well students master underlying concepts and skills rather than just answer questions directly. Experiments show that large language models struggle with zero‑shot scoring of knowledge elements and skills, and that rubric text is especially helpful for Alice‑KE and Alice‑SK.
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