[Paper Review] Language models are few-shot learners
Language models are few-shot learners Brown, Tom, et al. “Language models are few-shot learners.” Advances in neural information processing systems 33 (20...
Language models are few-shot learners Brown, Tom, et al. “Language models are few-shot learners.” Advances in neural information processing systems 33 (20...
Language models are unsupervised multitask learners Radford, Alec, et al. “Language models are unsupervised multitask learners.” OpenAI blog 1.8 (2019): 9...
Exploring the limits of transfer learning with a unified text-to-text transformer Raffel, Colin, et al. “Exploring the limits of transfer learning with a ...
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension Lewis, Mike, et al. “Bart: Denoising seq...
Deep contextualized word representations Matthew E. Peters, Mark Neumann, et al. “Deep contextualized word representations” NAACL 2018.
This is some sample content that goes here with Markdown formatting.
This is some sample content that goes here with Markdown formatting.
This is some sample content that goes here with Markdown formatting. Left aligned with type="left"
This is some sample content that goes here with Markdown formatting. Right aligned with type="right"
This is some sample content that goes here with Markdown formatting. Centered with type="center"