[HTML][HTML] Summary of chatgpt-related research and perspective towards the future of large language models
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4)
research, state-of-the-art large language models (LLM) from the GPT series, and their …
research, state-of-the-art large language models (LLM) from the GPT series, and their …
[HTML][HTML] Correlation coefficients: appropriate use and interpretation
Correlation in the broadest sense is a measure of an association between variables. In
correlated data, the change in the magnitude of 1 variable is associated with a change in the …
correlated data, the change in the magnitude of 1 variable is associated with a change in the …
Is chatgpt a good nlg evaluator? a preliminary study
Recently, the emergence of ChatGPT has attracted wide attention from the computational
linguistics community. Many prior studies have shown that ChatGPT achieves remarkable …
linguistics community. Many prior studies have shown that ChatGPT achieves remarkable …
Chatgpt as a factual inconsistency evaluator for text summarization
The performance of text summarization has been greatly boosted by pre-trained language
models. A main concern of existing methods is that most generated summaries are not …
models. A main concern of existing methods is that most generated summaries are not …
An empirical survey of data augmentation for time series classification with neural networks
In recent times, deep artificial neural networks have achieved many successes in pattern
recognition. Part of this success can be attributed to the reliance on big data to increase …
recognition. Part of this success can be attributed to the reliance on big data to increase …
[HTML][HTML] Regression analysis for continuous independent variables in medical research: statistical standard and guideline of Life Cycle Committee
SW Lee - Life cycle, 2022 - elifecycle.org
Variables measured in medicine are usually continuous, such as blood pressure, serum
glucose, and drug dosage. There are statistical methods to confirm whether these variables …
glucose, and drug dosage. There are statistical methods to confirm whether these variables …
[HTML][HTML] Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
To perform landslide susceptibility prediction (LSP), it is important to select appropriate
mapping unit and landslide-related conditioning factors. The efficient and automatic multi …
mapping unit and landslide-related conditioning factors. The efficient and automatic multi …
The impact of COVID-19 pandemic on the resilience of sustainable mobility in Sicily
The COVID-19 pandemic has resulted in unprecedented measures changing travel habits in
many countries. Many users have started to prefer traveling by private cars, which is against …
many countries. Many users have started to prefer traveling by private cars, which is against …
[HTML][HTML] Global matrix 3.0 physical activity report card grades for children and youth: results and analysis from 49 countries
Background: Accumulating sufficient moderate to vigorous physical activity is recognized as
a key determinant of physical, physiological, developmental, mental, cognitive, and social …
a key determinant of physical, physiological, developmental, mental, cognitive, and social …
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible
on all computed tomography (CT) scans of the chest, this information is not routinely …
on all computed tomography (CT) scans of the chest, this information is not routinely …