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  - name: kpr-bert-base-uncased
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  results:
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  ---
 
 
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  ## Introduction
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  A key limitation of large language models (LLMs) is their inability to capture less-frequent or up-to-date entity knowledge, often leading to factual inaccuracies and hallucinations. Retrieval-augmented generation (RAG), which incorporates external knowledge through retrieval, is a common approach to mitigate this issue.
 
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  - name: kpr-bert-base-uncased
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  results:
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  ---
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+ # kpr-bert-base-uncased
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  ## Introduction
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  A key limitation of large language models (LLMs) is their inability to capture less-frequent or up-to-date entity knowledge, often leading to factual inaccuracies and hallucinations. Retrieval-augmented generation (RAG), which incorporates external knowledge through retrieval, is a common approach to mitigate this issue.