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

a benchmark that evaluates large language models' ability to answer medical questions across multiple languages.

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