Papers with retrieval-free methods

1 papers
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models (2023.acl-long)

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Challenge: Existing research on retrieval-augmented and retrieval free dialogue models focuses on retrieving knowledge from external sources and rely on finely annotated retrieval training data and knowledge-grounded responses.
Approach: They propose a retrieval-free approach by turning knowledge documents into simulated multi-turn dialogues using a Multi-Document Traversal algorithm.
Outcome: The proposed approach outperforms retrieval-augmented models while being cheaper and faster at domain transfer.

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