mlsanityData to 7 Oct 2026

Overview of AI Grading of Physics Olympiad Exams

arXiv 2505.02121 ↗First posted 4 May 2025cs.AIcited by 1

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Abstract (arXiv)

Automatically grading the diverse range of question types in high school physics problem is a challenge that requires automated grading techniques from different fields. We report the findings of a Systematic Literature Review of potential physics grading techniques. We propose a multi-modal AI grading framework to address these challenges and examine our framework in light of Australia's AI Ethical Principles.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 20 references that are in the map. First posted on arXiv 4 May 2025.

Builds on

4 of 20 references.

References · 4

  1. 2023Performance of the Pre-Trained Large Language Model GPT-4 on Automated Short Answer Gradingcited by 15
  2. 2024Automated Theorem Provers Help Improve Large Language Model Reasoningcited by 7
  3. 2024CON-FOLD -- Explainable Machine Learning with Confidencecited by 2
  4. 2025Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Sciencecited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Bounding Boxes to Improve Small Language Model Performance on Vision-Based Grading Taskscited by 0