A brief overview of ChatGPT: The history, status quo and potential future development

T Wu, S He, J Liu, S Sun, K Liu… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

A comprehensive survey on pretrained foundation models: A history from bert to chatgpt

C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang… - International Journal of …, 2024 - Springer
Abstract Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks across different data modalities. A PFM (eg, BERT, ChatGPT, GPT-4) is …

Llm-pruner: On the structural pruning of large language models

X Ma, G Fang, X Wang - Advances in neural information …, 2023 - proceedings.neurips.cc
Large language models (LLMs) have shown remarkable capabilities in language
understanding and generation. However, such impressive capability typically comes with a …

A survey on vision transformer

K Han, Y Wang, H Chen, X Chen, J Guo… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Transformer, first applied to the field of natural language processing, is a type of deep neural
network mainly based on the self-attention mechanism. Thanks to its strong representation …

Knowledge distillation: A survey

J Gou, B Yu, SJ Maybank, D Tao - International Journal of Computer Vision, 2021 - Springer
In recent years, deep neural networks have been successful in both industry and academia,
especially for computer vision tasks. The great success of deep learning is mainly due to its …

Zeroquant: Efficient and affordable post-training quantization for large-scale transformers

Z Yao, R Yazdani Aminabadi… - Advances in …, 2022 - proceedings.neurips.cc
How to efficiently serve ever-larger trained natural language models in practice has become
exceptionally challenging even for powerful cloud servers due to their prohibitive …

[HTML][HTML] Pre-trained models: Past, present and future

X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu… - AI Open, 2021 - Elsevier
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved
great success and become a milestone in the field of artificial intelligence (AI). Owing to …

Pre-trained models for natural language processing: A survey

X Qiu, T Sun, Y Xu, Y Shao, N Dai, X Huang - Science China …, 2020 - Springer
Recently, the emergence of pre-trained models (PTMs) has brought natural language
processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs …

A primer in BERTology: What we know about how BERT works

A Rogers, O Kovaleva, A Rumshisky - Transactions of the Association …, 2021 - direct.mit.edu
Transformer-based models have pushed state of the art in many areas of NLP, but our
understanding of what is behind their success is still limited. This paper is the first survey of …

Tinybert: Distilling bert for natural language understanding

X Jiao, Y Yin, L Shang, X Jiang, X Chen, L Li… - arxiv preprint arxiv …, 2019 - arxiv.org
Language model pre-training, such as BERT, has significantly improved the performances of
many natural language processing tasks. However, pre-trained language models are …