Browse and submit evaluations for CaselawQA benchmarks
Convert PaddleOCR models to ONNX format
Calculate GPU requirements for running LLMs
Browse and evaluate ML tasks in MLIP Arena
Compare LLM performance across benchmarks
Calculate memory needed to train AI models
Generate leaderboard comparing DNA models
Convert PyTorch models to waifu2x-ios format
Display LLM benchmark leaderboard and info
Browse and filter machine learning models by category and modality
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Display model benchmark results
Track, rank and evaluate open LLMs and chatbots
The CaselawQA leaderboard (WIP) is a platform designed for tracking and comparing the performance of AI models on the CaselawQA benchmark. It enables researchers and practitioners to evaluate and submit results for their models, fostering collaboration and progress in legal AI applications. The leaderboard is currently a work in progress, with ongoing updates and improvements being made to enhance its functionality and usability.
What is the CaselawQA benchmark?
The CaselawQA benchmark is a dataset and evaluation framework designed to assess the ability of AI models to answer legal questions based on case law.
How do I submit my model's results?
To submit your model's results, use the submission interface on the CaselawQA leaderboard. Follow the provided instructions to upload your results in the required format.
Is the leaderboard open to everyone?
Yes, the leaderboard is open to all researchers and developers who want to evaluate their models on the CaselawQA benchmark. No special access is required.