Query Augmentation by Decoding Semantics from Brain Signals

arXiv:2402.15708v1 Announce Type: new
Abstract: Query augmentation is a crucial technique for refining semantically imprecise queries. Traditionally, query augmentation relies on extracting information from initially retrieved, potentially relevant documents. If the quality of the initially retrieved documents is low, then the effectiveness of query augmentation would be limited as well. We propose Brain-Aug, which enhances a query by incorporating semantic information decoded from brain signals. BrainAug generates the continuation of the original query with a prompt constructed with brain signal …

abstract arxiv augmentation brain brain signals cs.ai cs.cl cs.ir decoding documents information low quality queries query semantics type