Research Radar

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

269

Frontiers: Can Large Language Models Capture Human Preferences?

This paper examines the potential of large language models to mimic human survey respondents and to derive their preferences.

Carbon Emissions Trading and Environmental Protection: International Evidence

We study how the implementation of emissions trading systems (ETSs) impacts emissions reductions and the usage of renewable energy using a panel sample of the largest 100 countries worldwide. Exploiting cross-country variations in ETS implementati...

Competitive Advantage Through Artificial Intelligence: Toward a Theory of Situated AI

206

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

This article provides a comprehensive survey of bias mitigation methods for achieving fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning bias mitigation for ML classifiers. These methods can be distinguishe...

149

A Survey on Evaluation of Large Language Models

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their evaluation ...

2,120

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its remarkable ability in language understanding and human-like responses. ChatGPT, based on GPT-3.5 architecture, has shown great promise for revolutionizing va...

107

Navigating the Complexity of Generative AI Adoption in Software Engineering

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-m...

126

Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse

Research background: Multi-modal synthetic data fusion and analysis, simulation and modelling technologies, and virtual environmental and location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing and sensory data m...

Academic Publication • Published Jun 29, 2024

Splitwise: Efficient Generative LLM Inference Using Phase Splitting

146

Academic Publication • Published Jun 27, 2024

Inflammatory Bowel Disease: A Comprehensive Analysis of Molecular Bases, Predictive Biomarkers, Diagnostic Methods, and Therapeutic Options

In inflammatory bowel diseases (IBDs), such as Crohn’s disease (CD) and ulcerative colitis (UC), the immune system relentlessly attacks intestinal cells, causing recurrent tissue damage over the lifetime of patients. The etiology of IBD is complex...

Academic Publication • Published Jun 27, 2024

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys, and lan...

179

Academic Publication • Published Jun 21, 2024

GPTs are GPTs: Labor market impact potential of LLMs

Research is needed to estimate how jobs may be affected

464

Detecting hallucinations in large language models using semantic entropy

AbstractLarge language model (LLM) systems, such as ChatGPT1or Gemini2, can show impressive reasoning and question-answering capabilities but often ‘hallucinate’ false outputs and unsubstantiated answers3,4. Answering unreliably or without the nec...

508

Comparative study on the predictive value of TG/HDL-C, TyG and TyG-BMI indices for 5-year mortality in critically ill patients with chronic heart failure: a retrospective study

Abstract Background The triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and triglyceride-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute indicators for insulin resistance (IR). This ...

102

Bibliometric Analysis: The Main Steps

Bibliometric analysis is a systematic study carried out on scientific literature for the identification of patterns, trends, and impact within a certain field. Major steps include data collection from relevant databases, data cleaning and refining...

511

Business Resilience for Small and Medium Enterprises and Startups by Digital Transformation and the Role of Marketing Capabilities—A Systematic Review

This study investigates the intersection of digital transformation, business resilience, and marketing capabilities, focusing on small businesses and startups. The digital revolution has significantly transformed business operations, supply chain ...

Academic Publication • Published Jun 18, 2024

Electrochemical Sensors for Heavy Metal Ion Detection in Aqueous Medium: A Systematic Review

174

Academic Publication • Published Jun 18, 2024

Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms

AbstractHepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates accurate prediction models for early diagnosis and effective treatment. Machine learning algorithms have demonstrated promising results in various ...

185

Academic Publication • Published Jun 18, 2024

The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review

AbstractThe growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance of learning aids. Despite examination of the ethical concerns associated with these technologies, t...

698