Open Japanese LLM Leaderboard

What is Open Japanese LLM Leaderboard ?

The Open Japanese LLM Leaderboard is an open-source, community-driven platform designed to evaluate and compare large language models (LLMs) specifically for the Japanese language. It provides a comprehensive framework for benchmarking LLMs, allowing users to assess their performance across various tasks, datasets, and evaluation metrics. The platform aims to promote transparency and collaboration within the AI research community by enabling developers to submit their models for evaluation and share results publicly.

Features

The Open Japanese LLM Leaderboard offers a range of features to support the evaluation and comparison of Japanese LLMs:
• Interactive Leaderboards: A dynamic interface that displays the performance of different LLMs across multiple benchmarks and tasks.
• Model Submissions: Developers can submit their own models for evaluation, fostering community participation and model improvements.
• Customizable Benchmarks: Users can filter results based on specific tasks, datasets, or evaluation metrics to focus on relevant use cases.
• Visualization Tools: Detailed charts and graphs to help users understand model performance trends over time.
• Community Forum: A space for discussions, feedback, and collaboration among researchers and developers.

How to use Open Japanese LLM Leaderboard ?

1. Visit the Official Website: Navigate to the Open Japanese LLM Leaderboard platform at its official URL.
2. Explore Leaderboards: Browse through the interactive leaderboards to view model rankings based on performance metrics such as BLEU, ROUGE, or perplexity.
3. Filter Results: Use the available filters to narrow down results by specific tasks (e.g., translation, summarization), datasets, or model architectures.
4. Submit a Model: If you are a developer, follow the submission guidelines to evaluate your own Japanese LLM on the platform.
5. Leverage Community Resources: Engage with the community forum to discuss findings, share insights, or seek feedback from other users.

Frequently Asked Questions

What is the purpose of the Open Japanese LLM Leaderboard?
The leaderboard aims to provide a standardized platform for evaluating and comparing Japanese LLMs, fostering innovation and collaboration in the field of natural language processing.

How can I submit my model to the leaderboard?
Submission guidelines are available on the platform's documentation page. Ensure your model meets the specified requirements and follows the submission process outlined.

What criteria are used to rank models on the leaderboard?
Models are ranked based on their performance on predefined benchmarks and evaluation metrics such as BLEU, ROUGE, perplexity, and task-specific accuracy. The exact criteria may vary depending on the task or dataset selected.