Browse and submit evaluations for CaselawQA benchmarks
Retrain models for new data at edge devices
Calculate survival probability based on passenger details
Analyze model errors with interactive pages
Convert PyTorch models to waifu2x-ios format
Visualize model performance on function calling tasks
Calculate memory usage for LLM models
Benchmark LLMs in accuracy and translation across languages
Download a TriplaneGaussian model checkpoint
Run benchmarks on prediction models
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
Submit models for evaluation and view leaderboard
Display and filter leaderboard models
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.