| Challenge: | Recent Language Models (LMs) generate factually incorrect answers to queries . authors propose to augment LMs with knowledge retrieved from external source . |
| Approach: | They propose to augment LMs with knowledge retrieved from external sources . they validate the output and knowledge of the knowledge-augmented LM with a separate verifier . |
| Outcome: | The proposed model can generate factually incorrect answers on multiple questions . a verifier detects retrieval errors and can correct them by retrieving new knowledge or generating new text . |
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Language Models Hallucinate, but May Excel at Fact Verification (2024.naacl-long)
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