Papers with GrowOVER-QA

1 papers
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge? (2024.acl-long)

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Challenge: Existing knowledge-based datasets are outdated due to the rapid evolution of knowledge.
Approach: They propose a retrieval-interactive language model framework that evaluates and reflects on its answers for further re-retrieval.
Outcome: The proposed framework performs comparably to or surpasses continuously trained language models.

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