Papers with QKConv

1 papers
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling (2023.acl-long)

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Challenge: Existing methods to retrieve knowledge-intensive conversations are based on external resources such as Wikipedia databases or search engine results.
Approach: They propose an unsupervised query enhanced approach for knowledge-intensive conversations . they conduct experiments on three knowledge- intensive conversation datasets .
Outcome: The proposed approach performs better than all unsupervised methods across three datasets and achieves competitive performance compared to supervised methods.

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