a benchmark that evaluates large multimodal models (LMMs) on their ability to perform human-like mathematical reasoning.

a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization.

a benchmark designed to evaluate large language models (LLMs) specifically in their ability to answer real-world coding-related questions.

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

evaluates LLM's ability to call external functions/tools.

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