Browse and submit evaluations for CaselawQA benchmarks
Display model benchmark results
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SolidityBench Leaderboard
Benchmark models using PyTorch and OpenVINO
Display LLM benchmark leaderboard and info
Browse and evaluate ML tasks in MLIP Arena
Launch web-based model application
Compare LLM performance across benchmarks
Explore and visualize diverse models
Convert Hugging Face model repo to Safetensors
Display and submit LLM benchmarks
Explore and benchmark visual document retrieval 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.