a benchmark designed to assess the performance of multimodal web agents on realistic visually grounded tasks.

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

a benchmark designed to evaluate large language models in the legal domain.

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

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

a benchmark that evaluates large language models on a variety of multimodal reasoning tasks, including language, natural and social sciences, physical and social commonsense, temporal reasoning, algebra, and geometry.