Papers with Binary Passage Retriever

1 papers
Efficient Passage Retrieval with Hashing for Open-domain Question Answering (2021.acl-short)

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Challenge: Open-domain question answering systems often require large memory to run because of the massive size of their passage index.
Approach: They propose a memory-efficient neural retrieval model that integrates a learning-to-hash technique into the state-of-the-art Dense Passage Retriever to represent the passage index using compact binary codes.
Outcome: The proposed model significantly reduces memory cost from 65GB to 2GB without loss of accuracy on two open-domain question answering benchmarks.

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