Multilingual metrics for the LMSys Arena Leaderboard
Browse and filter LLM benchmark results
Submit evaluations for speaker tagging and view leaderboard
Generate synthetic dataset files (JSON Lines)
Display a Bokeh plot
Launch Argilla for data labeling and annotation
Search and save datasets generated with a LLM in real time
Browse and submit evaluation results for AI benchmarks
Parse bilibili bvid to aid / cid
Display color charts and diagrams
Execute commands and visualize data
Form for reporting the energy consumption of AI models.
Browse and compare Indic language LLMs on a leaderboard
The Multilingual LMSys Chatbot Arena Leaderboard is a comprehensive platform designed to evaluate and compare chatbots across multiple languages. It provides multilingual metrics to assess chatbot performance, making it a valuable tool for developers, researchers, and enthusiasts. The leaderboard allows users to benchmark chatbots, track progress, and identify top-performing models in various languages.
What metrics are used to evaluate chatbots on the leaderboard?
The leaderboard uses a variety of metrics, including accuracy, fluency, contextual understanding, and response time, to provide a holistic evaluation of chatbot performance.
How often is the leaderboard updated?
The leaderboard is updated regularly to reflect new models, improvements in existing models, and advancements in evaluation metrics.
Can I submit my own chatbot for evaluation?
Yes, the platform allows developers to submit their chatbots for evaluation, provided they meet the submission guidelines and requirements.