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Matching papers

Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness

6 upvotes · 21 JUL 2026 · Xilun Chen, Zhaleh Feizollahi, Ross Goodwin et al.

This paper introduces a new framework to evaluate the factuality and completeness of long-form generation models, which is essential for ensuring that generated text is accurate and informative. Practitioners in natural language processing and artificial intelligence can benefit from this framework to assess the quality of their models.

open-ended generationfactual completenessmultimodal evaluationrubric-based assessmentlong-form text generation

EduPanel: A Three-Agent LLM Judge for Teaching Videos -- Reliability, Complementarity, and Human Trust Calibration

4 upvotes · 20 JUL 2026 · Jia-Kai Dong, Yi-Cheng Lin, Hung-yi Lee

This paper introduces EduPanel, a machine learning model that evaluates the quality of teaching videos in a more nuanced way than existing methods, and shows that it can provide reliable and interpretable assessments that complement human expertise.

LLM judgesmultimodal evaluationeducational assessmentteaching qualityrubric-based evaluation