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

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

a multimodal question-answering benchmark designed to evaluate AI models' cognitive ability to understand human beliefs and goals.

a large-scale question-answering benchmark focused on real-world financial data, integrating both tabular and textual information.

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

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