Rethinking LLM Evaluation with 3C3H: AraGen Benchmark and Leaderboard
In the rapidly evolving landscape of large language models (LLMs), comprehensive and robust evaluation methodologies remain a critical challenge, particularly for low-resource languages. In this blog, we introduce AraGen, a generative tasks benchmark and leaderboard for Arabic LLMs, based on 3C3H, a new evaluation measure for NLG which we hope will inspire work for other languages as well.
The AraGen leaderboard makes three key contributions:
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3C3H Measure: The 3C3H measure scores a model’s response and is central to this framework. It is a holistic approach assessing model responses across multiple dimensions –Correctness, Completeness, Conciseness, Helpfulness, Honesty, and