[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 …

Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions

G Yenduri, M Ramalingam, GC Selvi, Y Supriya… - IEEE …, 2024 - ieeexplore.ieee.org
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the
domain of natural language processing, which is propelling us toward the development of …

Using large language models to simulate multiple humans and replicate human subject studies

GV Aher, RI Arriaga, AT Kalai - International Conference on …, 2023 - proceedings.mlr.press
We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

[PDF][PDF] Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods

T Hagendorff - arXiv preprint arXiv:2303.13988, 2023 - cybershafarat.com
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …

Probing the psychology of AI models

R Shiffrin, M Mitchell - … of the National Academy of Sciences, 2023 - National Acad Sciences
Large language models (LLMs), such as OpenAI's GPT-3 and its successor ChatGPT, have
exhibited astounding successes—as well as curious failures—in several areas of artificial …

Language model behavior: A comprehensive survey

TA Chang, BK Bergen - Computational Linguistics, 2024 - direct.mit.edu
Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

[HTML][HTML] A comprehensive survey of ChatGPT: advancements, applications, prospects, and challenges

A Nazir, Z Wang - Meta-radiology, 2023 - Elsevier
Abstract Large Language Models (LLMs) especially when combined with Generative Pre-
trained Transformers (GPT) represent a groundbreaking in natural language processing. In …

The potential of generative AI for personalized persuasion at scale

SC Matz, JD Teeny, SS Vaid, H Peters, GM Harari… - Scientific Reports, 2024 - nature.com
Matching the language or content of a message to the psychological profile of its recipient
(known as “personalized persuasion”) is widely considered to be one of the most effective …

From query tools to causal architects: Harnessing large language models for advanced causal discovery from data

T Ban, L Chen, X Wang, H Chen - arXiv preprint arXiv:2306.16902, 2023 - arxiv.org
Large Language Models (LLMs) exhibit exceptional abilities for causal analysis between
concepts in numerous societally impactful domains, including medicine, science, and law …

Turning large language models into cognitive models

M Binz, E Schulz - arXiv preprint arXiv:2306.03917, 2023 - arxiv.org
Large language models are powerful systems that excel at many tasks, ranging from
translation to mathematical reasoning. Yet, at the same time, these models often show …