Query Rewrite

Query rewrite focuses on improving the efficiency and effectiveness of information retrieval by reformulating user queries into forms better suited for search engines or databases. Current research emphasizes leveraging large language models (LLMs) to generate multiple, refined queries, often incorporating techniques like contrastive learning and reinforcement learning to optimize query selection and structure. This work is significant because improved query rewriting can lead to faster, more accurate, and more relevant search results across diverse applications, from conversational search to database query optimization.