Cited by 245Topic ModelingSpeech and dialogue systemsNatural Language Processing Techniques

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A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

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Nazir, Anam, Wang, Ze·2023·Meta-Radiology

DOI 10.1016/j.metrad.2023.100022PMC PMC10611551

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Abstract

Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, a state-of-the-art conversational language model with a user-friendly interface, has garnered substantial attention owing to its remarkable capability for generating human-like responses across a variety of conversational scenarios. This survey offers an overview of ChatGPT, delving into its inception, evolution, and key technology. We summarize the fundamental principles that underpin ChatGPT, encompassing its introduction in conjunction with GPT and LLMs. We also highlight the specific characteristics of GPT models with details of their impressive language understanding and generation capabilities. We then summarize applications of ChatGPT in a few representative domains. In parallel to the many advantages that ChatGPT can provide, we discuss the limitations and challenges along with potential mitigation strategies. Despite various controversial arguments and ethical concerns, ChatGPT has drawn significant attention from research industries and academia in a very short period. The survey concludes with an envision of promising avenues for future research in the field of ChatGPT. It is worth noting that knowing and addressing the challenges faced by ChatGPT will mount the way for more reliable and trustworthy conversational agents in the years to come.

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See all 245

Authors: Nazir, A., & Wang, Z.
Affiliations: University of Maryland, Baltimore (US)
Corresponding author: Wang, Ze
ORCID: Nazir, Anam
Wang, Ze
Venue: Meta-Radiology
Publisher: Elsevier BV
Published: 2023-09
Volume: 1
Issue: 2
Pages: 100022
ISSN: 2950-1628 (ISSN-L)
DOI: 10.1016/j.metrad.2023.100022
PMC: PMC10611551
OpenAlex: W4387425757
Semantic Scholar: 3cc896b9a9c4951510b6b9f28be930d65b24d29f
Cited by: 245
References: 103
Citations by year: 2026: 47 · 2025: 99 · 2024: 95 · 2023: 4
FWCI: 23.10
Type: journal article
Language: en
Open access: diamond
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by/4.0/ (vor, 36 d)
Locations: Meta-Radiology (publishedVersion, cc-by)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: National Institutes of Health (R01AG060054, 1UL1TR003098, R01AG070227, R01EB031080-01A1, P41EB029460-01A1)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords: ChatGPT, large language models, generative pre-trained transformer, chatbots, natural language generation, natural language understanding, ethical considerations, trustworthy AI

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A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

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