Conversational Search

Conversational search aims to improve information retrieval by enabling natural language dialogues between users and search systems, moving beyond traditional keyword-based searches. Current research focuses on enhancing query understanding within multi-turn conversations, often employing large language models (LLMs) and techniques like query rewriting and dense retrieval to improve the accuracy and relevance of search results. These advancements are significant because they promise more intuitive and effective information access, impacting fields ranging from scholarly research to consumer applications by facilitating more natural and efficient interactions with information sources.