Factuality Enhanced Language Models for Open-Ended Text Generation

Neural Information Processing Systems 

Pretrained language models (LMs) are susceptible to generate text with nonfac-tual information. In this work, we measure and improve the factual accuracy of large-scale LMs for open-ended text generation.

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