KRL+F Knowledge-Augmented Document Search Task Proposed by KAIST and Samsung
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The Korea Advanced Institute of Science and Technology (KAIST) and Samsung have collaborated to introduce the KTRL+F task for knowledge-enhanced in-document search. This task requires models to identify semantic targets within a document in real-time through a single natural query. The task introduces a knowledge-enhanced phrase retrieval model, which effectively balances speed and performance by incorporating external knowledge embeddings into phrase embeddings. The scalability and practicality of KTRL+F offer opportunities for future advancements in information retrieval and knowledge enhancement fields.
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