Reading Passage

Research on reading passage processing focuses on improving question answering (QA) systems by effectively utilizing retrieved text passages. Current efforts center on enhancing retrieval methods, including developing novel architectures like generative retrievers and incorporating contextual information from multiple passages via techniques such as question decomposition and passage augmentation. These advancements aim to address challenges like hallucination and the detrimental effects of irrelevant context, ultimately improving the accuracy and efficiency of open-domain QA systems and impacting applications like automated assessment and information retrieval.