LaTA delivers a drop-in, FERPA-compliant local-LLM autograder for LaTeX-based STEM assignments that achieved 0.02-0.04% per-item error and correlated with 8-11% exam gains plus large confidence increases in a 200-student university course.
Research first look: Can large lan- guage models transform automated scoring further? American Institutes for Research, 2025
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LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework
LaTA delivers a drop-in, FERPA-compliant local-LLM autograder for LaTeX-based STEM assignments that achieved 0.02-0.04% per-item error and correlated with 8-11% exam gains plus large confidence increases in a 200-student university course.