Query Based

Query-based systems are transforming data processing and information retrieval across diverse fields, aiming to efficiently and effectively answer specific queries. Current research focuses on optimizing query processing through techniques like contrastive learning for improved large language model selection, automated discovery of privacy attacks in data sharing systems, and semantic caching to enhance efficiency in LLMs and image databases. These advancements are improving the speed, accuracy, and privacy of query-based systems, impacting areas such as natural language processing, machine learning, and database management.