Evaluating LMMs on Japanese subjects
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The JMMMU Leaderboard is a benchmarking platform designed for evaluating and comparing Large Multimodal Models (LMMs) on Japanese subjects. It provides a standardized framework for submitting, evaluating, and viewing results of model performance on specific tasks. Researchers and developers can use this leaderboard to gain insights into how their models perform relative to others in the field of Japanese document analysis and processing.
• Benchmark Submission: Easily submit your model's results for evaluation.
• Real-Time Results: View updated leaderboard standings as new submissions are made.
• Customizable Comparisons: Compare your model's performance with other models on specific metrics.
• Detailed Analytics: Access comprehensive data visualizations and performance breakdowns.
• Community Support: Join a community of researchers and developers working on Japanese LLMs.
What types of models can I submit to the JMMMU Leaderboard?
You can submit any Large Multimodal Model (LMM) that has been trained or fine-tuned for Japanese language tasks.
How are the models ranked on the leaderboard?
Models are ranked based on their performance metrics on specific tasks related to Japanese document analysis. Rankings are updated in real-time as new submissions are made.
Can I compare my model's performance against specific competitors?
Yes, the JMMMU Leaderboard allows you to filter and compare your model's performance with other models on the leaderboard.