[HTML][HTML] ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

PP Ray - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
In recent years, artificial intelligence (AI) and machine learning have been transforming the
landscape of scientific research. Out of which, the chatbot technology has experienced …

A survey of large language models in medicine: Progress, application, and challenge

H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

The political biases of chatgpt

D Rozado - Social Sciences, 2023 - mdpi.com
Recent advancements in Large Language Models (LLMs) suggest imminent commercial
applications of such AI systems where they will serve as gateways to interact with …

[PDF][PDF] The computational limits of deep learning

NC Thompson, K Greenewald, K Lee… - arXiv preprint arXiv …, 2020 - assets.pubpub.org
Deep learning's recent history has been one of achievement: from triumphing over humans
in the game of Go to world-leading performance in image classification, voice recognition …

A survey on intent-based networking

A Leivadeas, M Falkner - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
Current and future network services and applications are expected to revolutionize our
society and lifestyle. At the same time, the abundant possibilities that new network …

Video summarization using deep neural networks: A survey

E Apostolidis, E Adamantidou, AI Metsai… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

A comprehensive survey on automatic knowledge graph construction

L Zhong, J Wu, Q Li, H Peng, X Wu - ACM Computing Surveys, 2023 - dl.acm.org
Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …

Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science

A Trewartha, N Walker, H Huo, S Lee, K Cruse… - Patterns, 2022 - cell.com
A bottleneck in efficiently connecting new materials discoveries to established literature has
arisen due to an increase in publications. This problem may be addressed by using named …

A survey of adversarial defenses and robustness in nlp

S Goyal, S Doddapaneni, MM Khapra… - ACM Computing …, 2023 - dl.acm.org
In the past few years, it has become increasingly evident that deep neural networks are not
resilient enough to withstand adversarial perturbations in input data, leaving them …

Natural language processing advancements by deep learning: A survey

A Torfi, RA Shirvani, Y Keneshloo, N Tavaf… - arXiv preprint arXiv …, 2020 - arxiv.org
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a
better understanding of the human language for linguistic-based human-computer …