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John Thickstun

2 papers on this site (2021–2022)

Diffusion-LM Improves Controllable Text GenerationXiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021

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