One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era
OpenAI has recently released GPT-4 (aka ChatGPT plus), which is demonstrated to be one
small step for generative AI (GAI), but one giant leap for artificial general intelligence (AGI) …
small step for generative AI (GAI), but one giant leap for artificial general intelligence (AGI) …
Deep learning--based text classification: a comprehensive review
Deep learning--based models have surpassed classical machine learning--based
approaches in various text classification tasks, including sentiment analysis, news …
approaches in various text classification tasks, including sentiment analysis, news …
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …
capabilities with increasing scale. Despite their potentially transformative impact, these new …
Byt5: Towards a token-free future with pre-trained byte-to-byte models
Most widely used pre-trained language models operate on sequences of tokens
corresponding to word or subword units. By comparison, token-free models that operate …
corresponding to word or subword units. By comparison, token-free models that operate …
Restoring and attributing ancient texts using deep neural networks
Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known
as inscriptions—for evidence of the thought, language, society and history of past …
as inscriptions—for evidence of the thought, language, society and history of past …
Pre-trained models for natural language processing: A survey
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 …
processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs …
Curriculum learning: A survey
Training machine learning models in a meaningful order, from the easy samples to the hard
ones, using curriculum learning can provide performance improvements over the standard …
ones, using curriculum learning can provide performance improvements over the standard …
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
In the field of artificial intelligence, a combination of scale in data and model capacity
enabled by unsupervised learning has led to major advances in representation learning and …
enabled by unsupervised learning has led to major advances in representation learning and …
Federated learning for mobile keyboard prediction
We train a recurrent neural network language model using a distributed, on-device learning
framework called federated learning for the purpose of next-word prediction in a virtual …
framework called federated learning for the purpose of next-word prediction in a virtual …
A survey of the usages of deep learning for natural language processing
Over the last several years, the field of natural language processing has been propelled
forward by an explosion in the use of deep learning models. This article provides a brief …
forward by an explosion in the use of deep learning models. This article provides a brief …