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

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

a benchmark evaluating QA methods that operate over a mixture of heterogeneous input sources (KB, text, tables, infoboxes).

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 assess the performance of multimodal web agents on realistic visually grounded tasks.

an evaluation benchmark focused on ancient Chinese language comprehension.