Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

The digital deep integration of cyber space, physical space and social space facilitates the
formation of Cyber–Physical–Social Systems (CPSS). Knowledge empowers CPSS to be …

Long-form question answering (LFQA) aims to generate a paragraph-length answer for a
given question. While current work on LFQA using large pre-trained model for generation …

The problem of Question Answering (QA) has attracted significant research interest for long.
Its relevance to language understanding and knowledge retrieval tasks, along with the …

Code search aims to retrieve accurate code snippets based on a natural language query to
improve software productivity and quality. With the massive amount of available programs …

Asking good questions is an essential ability for both human and machine intelligence.
However, existing neural question generation approaches mainly focus on the short factoid …

AI systems have seen significant adoption in various domains. At the same time, further
adoption in some domains is hindered by the inability to fully trust an AI system that it will not …

We investigate the less-explored task of generating open-ended questions that are typically
answered by multiple sentences. We first define a new question type ontology which …

Multi-hop question generation focuses on generating complex questions that require
reasoning over multiple pieces of information of the input passage. Current models with …

In recent years, advanced machine learning and artificial intelligence techniques have
gained popularity due to their ability to solve problems across various domains with high …