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

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

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.

a large-scale Document Visual Question Answering (VQA) dataset designed for complex document understanding, particularly in financial reports.

a comprehensive benchmarking platform designed to evaluate large models' mathematical abilities across 20 fields and nearly 30,000 math problems.