FreeEval: The Ethical Concerns
19 Mar 2025
In this paper, we introduce FreeEval, a modular and extensible framework for trustworthy and efficient automatic evaluation of LLMs.
FreeEval: Efficient Inference Backends
18 Mar 2025
FreeEval’s high-performance inference backends are designed to efficiently handle the computational demands of large-scale LLM evaluations.
How FreeEval Incorporates A Range of Metaevaluation Modules
18 Mar 2025
FreeEval prioritizes trustworthiness and fairness in evaluations by incorporating a range of metaevaluation modules that validates the evaluation results
FreeEval Architecture Overview and Extensible Modular Design
18 Mar 2025
FreeEval’s architecture features a modular design that could be separated into Evaluation Methods, Meta-Evaluation, and LLM Inference Backends.
The Design and Implementation of FreeEval
18 Mar 2025
In this section, we present the design and implementation of FreeEval, we discuss the framework’s architecture and its key components
A Meta-Evaluation of LLMs
18 Mar 2025
Meta-evaluation refers to the process of evaluating the fairness, reliability, and validity of evaluation protocols themselves.
Background and Automatic Evaluation Methods for LLMs
17 Mar 2025
In this section, we provide an overview of the current landscape of LLM evaluation methods and the challenges posed by data contamination
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
17 Mar 2025
FreeEval is designed with a high-performance infrastructure, including distributed computation and caching strategies