AraGen Benchmark and Leaderboard — Dynamic Arabic LLM Evaluation with 3C3H

AI Impact Summary

The AraGen Benchmark and Leaderboard introduces a novel approach to evaluating Arabic LLMs, leveraging the 3C3H measure to assess both factual accuracy and usability. This dynamic, three-month blind testing cycle mitigates data contamination and ensures a more reliable evaluation process compared to traditional benchmarks. The iterative nature of the benchmark, with new datasets released every three months, will drive continuous model improvement and provide a robust standard for Arabic LLM performance.