Seonglae ChoDenoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural...
We present BART, a denoising autoencoder for pretraining sequence-to-sequence models. BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to...
https://arxiv.org/abs/1910.13461
BART Text Summarization vs. GPT-3 vs. BERT: An In-Depth Comparison | Width.ai
We compare 12 AI text summarization models through a series of tests to see how BART text summarization holds up against GPT-3, PEGASUS, and more.
https://www.width.ai/post/bart-text-summarization
