A pioneering benchmark specifically designed to assess honesty in LLMs comprehensively.

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

a ground-truth-based dynamic benchmark derived from off-the-shelf benchmark mixtures, which evaluates LLMs with a highly capable model ranking while running locally and quickly.

a Swedish language understanding benchmark that evaluates natural language processing (NLP) models on various tasks such as argumentation analysis, semantic similarity, and textual entailment.

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

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