a benchmark that evaluates large language models' ability to answer medical questions across multiple languages.

A pioneering benchmark specifically designed to assess honesty in LLMs comprehensively.

An Automatic Evaluator for Instruction-following Language Models using Nous benchmark suite.

a meta-benchmark that evaluates how well factuality evaluators assess the outputs of large language models (LLMs).

a ground-truth-based dynamic benchmark derived from off-the-shelf benchmark mixtures, which evaluates LLMs with a highly capable model ranking while running locally and quickly.

a benchmark for evaluating the performance of large language models (LLMs) in various tasks related to both textual and visual imagination.