Paper Summary: Improving Language Understanding by Generative Pre-Training Unified Language Model Pre-training for Natural Language Understanding ... 文献阅读笔记—Improving Language Understanding by Generative Pre-Training Improving Short Answer Grading Using Transformer-Based Pre-training 論文閱讀筆記 GPT：Improving Language Understanding by Generative Pre-Training. When OpenAI released its billion-parameter language model GPT-2, their attempts to withhold the model inspired two researchers to use open research practices to combat the misuse of machine learning. Paper summary: GPT 1 — Improving Language Understanding by Generative ... Knowledgeable Machine Learning for Natural Language Processing BERT: pre-training of deep bidirectional transformers for language understanding. GPT-3 - Wikipedia . 2018. Improving language understanding by generative pre-training. yenguage - Page 2 PDF Improving Language Understanding by Generative Pre-Training 但其实在Bert出现几个月之前, OpenAI在《Improving Language Understanding by Generative Pre-Training》就提出一个很相似的模型GPT, 取得非常不错的效果, 只可惜没得到太多关注. class: center, middle, inverse, title-slide # Improving Language Understanding for Low-Resource Languages and Tasks with Generative Pre-Training ## Deep Learning Camp Jeju 2018 ## icoxfog417 changed the title Improving Language Understanding with Unsupervised Learning Improving Language Understanding by Generative Pre-Training on Jun 28, 2018 icoxfog417 mentioned this issue on Oct 11, 2018 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding #959 Open Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performance gains on a diverse range of Natural Language Understanding (NLU) tasks.