FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models

Understand

The rapid development of large language model (LLM) evaluation methodologies and datasets has led to a profound challenge: integrating state-of-the-art evaluation techniques cost-effectively while ensuring reliability, reproducibility, and efficiency.

• Currently, there is a notable absence of a unified and adaptable framework that seamlessly integrates various evaluation approaches.
• Moreover, the reliability of evaluation findings is often questionable due to potential data contamination, with the evaluation efficiency commonly overlooked when facing the substantial costs associated with LLM inference.
• In response to these challenges, we introduce FreeEval, a modular and scalable framework crafted to enable trustworthy and efficient automatic evaluations of LLMs.