Keyword Search

Keyword search, aiming to efficiently retrieve information based on user-specified terms, is undergoing significant evolution beyond traditional methods. Current research focuses on enhancing search accuracy and speed through hybrid approaches combining keyword matching with semantic understanding using techniques like large language models and embedding models, as well as developing end-to-end systems that bypass intermediate steps like speech-to-text transcription. These advancements are improving information retrieval across diverse domains, from scholarly literature to speech-based applications, by addressing limitations of keyword-only searches and enabling more nuanced and context-aware results. The resulting improvements in efficiency and accuracy have significant implications for various fields, including scientific research and information access.