BART

Creator

Creator

Created

Created

2023 Mar 25 9:46

Editor

Editor

Edited

Edited

2023 May 31 8:4

Refs

Refs

AI Summarization

Denoising 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...

BART: Denoising Sequence-to-Sequence Pre-training for Natural...

https://arxiv.org/abs/1910.13461

BART: Denoising Sequence-to-Sequence Pre-training for Natural...

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.

BART Text Summarization vs. GPT-3 vs. BERT: An In-Depth Comparison | Width.ai

https://www.width.ai/post/bart-text-summarization

BART Text Summarization vs. GPT-3 vs. BERT: An In-Depth Comparison | Width.ai

BART 논문 리뷰

https://dladustn95.github.io/nlp/BART_paper_review/

BART 논문 리뷰

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