Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs and enrich the KGs to become better web infrastructure, which can benefit a ...

Abstract: Text-based visual question answering (TextVQA) faces the significant challenge of avoiding redundant relational inference. To be specific, a large number of detected objects and optical ...

Abstract: In the process industry, data-driven soft sensors enhance transparency by mapping the interdependencies among variables triggered by complex reactions. Yet, they frequently fail to account ...