Evaluating Long-Context Question and Answer Systems
While evaluating Q&A systems is straightforward with short paragraphs, complexity increases as documents grow larger. For example, technical documentation, novels and movies, as well as multi-document scenarios. Although some of these evaluation challenges also appear in shorter contexts, long-context evaluation amplifies issues such as: Information overload: Irrelevant details in large documents obscure relevant facts, making it harder for retrievers and models to locate the right evidence for