Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
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Updated
Dec 16, 2025 - Python
Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Evaluation for AI outputs against trusted educational rubrics. Measure and improve content quality with research-backed rubrics — ensuring rigor, reliability, and alignment to classroom needs.
Export grades from assignment using advanced grading methods in excel format
R script to transform a .xlsx workbook into a PDF or HTML with rubrics and assessment-forms for academic courses. Currently in Dutch. Written for a theology program @ Protestant Theological University
Cyber Readiness Index Rubrics Live Dashboard
Lightweight examples of LLM evaluation artifacts: rubrics, prompts, and evaluator guidelines.
K–12 LLM evaluation examples using teacher-centered ground truths, rubrics, and tone-aware response review.
Rubric-related entities designed for inclusion in a future release of the IMS Global Caliper Analytics specification.
Korean-language CS/DS/ML problems with solutions & scoring rubrics (KR/EN)
🚀 Explore DR Tulu, an innovative reinforcement learning model designed for long-form deep research tasks, achieving top benchmarks with cutting-edge techniques.
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