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RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
In recent years, large neural networks for natural language generation (...
10/06/2020 ∙ by Liam Dugan, et al. ∙
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Toward Better Storylines with Sentence-Level Language Models
We propose a sentence-level language model which selects the next senten...
05/11/2020 ∙ by Daphne Ippolito, et al. ∙
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Trading Off Diversity and Quality in Natural Language Generation
For open-ended language generation tasks such as storytelling and dialog...
04/22/2020 ∙ by Hugh Zhang, et al. ∙
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Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs
Contact tracing is an essential tool for public health officials and loc...
03/25/2020 ∙ by Hyunghoon Cho, et al. ∙
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Human and Automatic Detection of Generated Text
With the advent of generative models with a billion parameters or more, ...
11/02/2019 ∙ by Daphne Ippolito, et al. ∙
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Comparison of Diverse Decoding Methods from Conditional Language Models
While conditional language models have greatly improved in their ability...
06/14/2019 ∙ by Daphne Ippolito, et al. ∙
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Unsupervised learning of image motion by recomposing sequences
We propose a new method for learning a representation of image motion in...
12/01/2016 ∙ by Andrew Jaegle, et al. ∙
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