Aug. 12, 2022, 1:11 a.m. | Keenan Jones, Enes Altuncu, Virginia N. L. Franqueira, Yichao Wang, Shujun Li

cs.CL updates on arXiv.org arxiv.org

In recent years there has been substantial growth in the capabilities of
systems designed to generate text that mimics the fluency and coherence of
human language. From this, there has been considerable research aimed at
examining the potential uses of these natural language generators (NLG) towards
a wide number of tasks. The increasing capabilities of powerful text generators
to mimic human writing convincingly raises the potential for deception and
other forms of dangerous misuse. As these systems improve, and it …

arxiv digital generation language language generation natural natural language natural language generation perspective survey

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