benchmark designed to evaluate large language models (LLMs) on solving complex, college-level scientific problems from domains like chemistry, physics, and mathematics.

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

an expert-driven benchmark for Chineses LLMs.

focuses on understanding how these models perform in various scenarios and analyzing results from an interpretability perspective.

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

a biomedical question-answering benchmark designed for answering research-related questions using PubMed abstracts.