Google KELM Reduces Bias and Encourages Factual Accuracy

Google KELM Reduces Bias and Encourages Factual Accuracy

Google AI Blog announced KELM, a way that could be used to reduce bias and toxic content in search (open domain question answering). It uses a method called TEKGEN to convert Knowledge Graph facts into natural language text that can then be used to improve natural language processing models.

What is KELM?

KELM is an acronym for Knowledge-Enhanced Language Model Pre-training.  Natural language processing models like BERT are typically trained on web and other documents. KELM proposes adding…


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