Papers by Alex Mallen

1 papers
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories (2023.acl-long)

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Challenge: Large language models struggle with tasks requiring rich world knowledge, implying the difficulty of encoding a wealth of world knowledge in their parameters.
Approach: They propose a retrieval-augmentation method that improves performance and reduces inference costs by only retrieving non-parametric memories when necessary.
Outcome: The proposed method improves performance and reduces inference costs by only retrieving non-parametric memories when necessary.

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