PhysUniBenchmark is an open source multimodal physics problem benchmarking tool developed by PrismaX-Team and hosted on GitHub. Its primary use is to evaluate the capabilities of multimodal macromodels (e.g., GPT-4o, LLaVA, etc.) when dealing with undergraduate-level physics problems, with a particular focus on complex scenarios that require a combination of conceptual understanding and visual interpretation.
The core value of the tool is reflected in:
- Provide a standardized test platform: include a variety of topics covering many physical fields such as mechanics, electromagnetism, optics, etc.
- Supports multimodal assessment: questions are in the form of textual descriptions, formulas, images and diagrams to test the comprehensive understanding of models
- Facilitating academic research: helping researchers analyze the performance and limitations of models in physical reasoning tasks
- Optimize model development: provide developers with training data support to improve the visual and logical reasoning of models
As an open source project, it allows users to freely download, modify and extend it, and provides detailed documentation and usage guidelines, making it an important tool for academic research and model optimization.
This answer comes from the articlePhysUniBenchmark: benchmarking tool for multimodal physics problemsThe
