QA Task

Question answering (QA) tasks aim to develop systems capable of accurately and efficiently answering questions posed in natural language. Current research focuses on improving the handling of long contexts, integrating diverse knowledge sources like web data and knowledge graphs, and enhancing model reliability by addressing issues like abstention from answering when uncertain. These advancements are crucial for improving the accuracy and trustworthiness of AI systems across various applications, from scientific research to information retrieval and decision support.