A Comprehensive Review of ChatGPT Research: Trends, Applications and Challenges

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A team of researchers in China have undertaken a thorough analysis of research papers centered around ChatGPT, with a total of 194 research papers being identified as of April 1st, 2023. After conducting a comprehensive trend analysis, and a comprehensive review of the existing literature, the team's findings indicate a rapid increase in interest in NLP models, showcasing their substantial potential across various domains. It is essential to acknowledge the valid concerns surrounding this technology, like biased or harmful content generation, privacy infringements and the potential for misuse, and mitigating these concerns and establishing a framework for responsible and ethical development and deployment of ChatGPT stands as a paramount priority.


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Recent advancements in natural language processing (NLP) have ushered in a new era with the emergence of powerful language models, most notably the Generative Pretrained Transformer (GPT) series, which includes substantial language models such as ChatGPT (GPT-3.5 and GPT-4).These models undergo extensive pre-training on vast textual data, and their capability is evident in their exceptional performance across a broad spectrum of NLP tasks, including language translation, text summarization, and question-answering. Notably, ChatGPT has demonstrated its potential across various domains, spanning education, health care, reasoning, text generation, human-machine interaction, and scientific research, to name just a few.

The study identified 194 research papers referencing GPT-4 on arXiv preprint server as of April 1st, 2023

In line with this emerging and noteworthy trend, a team of researchers in China has undertaken a thorough analysis of research papers centered around ChatGPT. As of April 1st, 2023, a total of 194 papers referencing ChatGPT were identified on the arXiv preprint server.

The team's study encompassed a comprehensive trend analysis of these papers, resulting in the creation of a word cloud to visually depict the frequently used terminology. Additionally, they delved into the distribution of these papers across diverse fields, presenting statistical insights.

The team's study encompassed a comprehensive trend analysis of these papers, resulting in the generation of a word cloud to depict the frequently used terminology

Moreover, their efforts extended to a comprehensive review of the existing literature on ChatGPT. "Our review spans various dimensions, including an exploration of ChatGPT's manifold applications, a thorough consideration of the ethical implications associated with its use, an evaluation of its capabilities, and an examination of its inherent limitations," explains lead author Bao Ge.

The team's findings indicate a rapid increase in interest in NLP models, showcasing their substantial potential across various domains.

The team's findings indicate a rapid increase in interest in NLP models, showcasing their substantial potential across various domains

"Nonetheless, it is essential to acknowledge the valid concerns surrounding biased or harmful content generation, privacy infringements and the potential for technology misuse," Ge emphasizes.Mitigating these concerns and establishing a framework for the responsible and ethical development and deployment of ChatGPT stands as a paramount priority.

The research is published in the journal Meta-Radiology.

The research was published in the journal Meta-Radiology

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