Aware Query

Aware query research focuses on enhancing information retrieval by incorporating contextual information to improve the accuracy and relevance of search results. Current efforts leverage large language models (LLMs) and transformer-based architectures, often incorporating techniques like query rewriting, context-aware prompting, and multimodal embeddings to better understand user intent and the surrounding information. This research is significant for improving the user experience in various applications, from online education and e-commerce to medical coding and complex scientific data analysis, by enabling more effective and efficient information access.