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Jaromir Savelka

Carnegie Mellon University

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Jul 2026

Prompting Beats Fine-Tuning: Generative Expected Value Scoring for Statutory Term Retrieval

This work studies the task of ranking case-law sentences by their usefulness for explaining a concept or target statutory term, using an established dataset of 26,959 sentences covering 42 U.S. Code concepts labeled into four explanatory-value categories.

Alvin Wang, Jaromir Savelka · 0 citations
#software testing Review Jul 2026

Personalized Assessments from Personal Artifacts

A method called Personalized Probing Puzzles to evaluate students' understanding of their own code, and a pilot study shows that it can help identify potential gaps in students' understanding of their own code.

Yufan Zhang, Jaromir Savelka, S. Goldstein et al. · 0 citations

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