GenSQLi: A Generative Artificial Intelligence Framework for Automatically Securing Web Application Firewalls Against Structured Query Language Injection Attacks by Vahid Babaey, Arun Ravindran

“…This paper introduces a novel generative AI framework designed to enhance SQLi mitigation by leveraging Large Language Models (LLMs). The framework achieves two primary objectives: (1) generating diverse and validated SQLi payloads using in-context learning, thereby minimizing hallucinations, and (2) automating defense mechanisms by testing these payloads against a vulnerable web application secured by a WAF, classifying bypassing attacks, and constructing effective WAF security rules through generative AI techniques. …”
Get full text

Sequence Analysis-Enhanced AI: Transforming Interactive E-Book Data into Educational Insights for Teachers by Yaroslav Opanasenko, Emanuele Bardone, Margus Pedaste, Leo Aleksander Siiman

“…This study explores the potential of large language models as interfaces for conducting sequence analysis on log data from interactive E-Books. …”
Get full text

Urdu Toxic Comment Classification With PURUTT Corpus Development by Hafiz Hassaan Saeed, Tahir Khalil, Faisal Kamiran

“…Furthermore, we fine-tune five multilingual large language models capitalizing on their inherent multilingual capabilities. …”
Get full text

AI-assisted exposure-response data analysis: Quantifying heterogeneous causal effects of exposures on survival times by Louis Anthony Cox, Jr., R. Jeffrey Lewis, Saumitra V. Rege, Shubham Singh

“…This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. …”
Get full text

Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving by Rui Zhao, Yuze Fan, Yun Li, Dong Zhang, Fei Gao, Zhenhai Gao, Zhengcai Yang

“…Building on the successful application of Transformers in large language models, we introduce the Behavior Transformer as the policy network in RL, using observation–action history as input for sequential decision-making, thereby leveraging the Transformer’s contextual reasoning capabilities. …”
Get full text

Machine Reading Comprehension for the Tamil Language With Translated SQuAD by Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe

“…However, MRC for low-resourced languages (LRL) remains an ongoing research area. Although Large Language Models show exceptional NLP performance, they are less effective for LRL and are expensive to train and deploy. …”
Get full text

From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

“…To develop a comprehensive analysis of large interaction datasets, we propose a novel methodology leveraging large language models to automate the classification process. …”
Get full text

An Innovative Solution to Design Problems: Applying the Chain-of-Thought Technique to Integrate LLM-Based Agents With Concept Generation Methods by Shijun Ge, Yuanbo Sun, Yin Cui, Dapeng Wei

“…To enhance the application capabilities of large language models (LLMs) in conceptual design, this study explores how to achieve deep integration between LLM-based agents and concept generation methods using the chain-of-thought (CoT) technique and evaluates its feasibility. …”
Get full text

The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review by Ninel Iacobus Antonie, Gina Gheorghe, Vlad Alexandru Ionescu, Loredana-Crista Tiucă, Camelia Cristina Diaconu

“…Artificial intelligence (AI) chatbots based on large language models have shown potential as tools to support clinicians, especially non-specialists, in optimizing antibiotic therapy. …”
Get full text

The persuasive role of generic-you in online interactions by Minxue Niu, Emily Mower Provost, David Jurgens, Susan A. Gelman, Ethan Kross, Ariana Orvell

“…., “You win some, you lose some”), is associated with successfully shifting people’s pre-existing views in a naturalistic context. Leveraging Large Language Models, we conducted a preregistered study using a large ( $$N_{trials}$$ = 204,120) online debate dataset. …”
Get full text

Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches by Marco Siino, Mariana Falco, Daniele Croce, Paolo Rosso

“…To identify the current state of the applications of Transformers (also known as Large Language Models or LLMs) in the legal domain, we analysed the existing literature from 2017 to 2023 through a database search and snowballing method. …”
Get full text

ChatGPT in healthcare education: a double-edged sword of trends, challenges, and opportunities by Michael Agyemang Adarkwah, Samuel Anokye Badu, Evans Appiah Osei, Enoch Adu-Gyamfi, Jonathan Odame, Käthe Schneider

“…The scoping review, conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, utilized search terms such as “ChatGPT,” “GPT,” “natural language processing,” “large language models,” and “health education”. The review followed the five-stage framework outlined for organization and analysis. …”
Get full text

TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

“…TepiSense compares the performance of 3 feature extraction techniques, 9 machine/deep learning models, and 3 Large Language Models (LLMs). To test the performance of our system, we build a dataset of Twitter Epidemic Surveillance Corpus (TESC) containing 23.9K English and 13K labelled Urdu tweets related to six diseases: COVID19, hepatitis, malaria, flu, dengue, and HIV/AIDS. …”
Get full text

Evolution of artificial intelligence in healthcare: a 30-year bibliometric study by Yaojue Xie, Yuansheng Zhai, Yuansheng Zhai, Guihua Lu, Guihua Lu

“…IntroductionIn recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. …”
Get full text

Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013–2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

“…It also, proposes three main recommendations: dataset standardization for ethical data management, clear governance models for ethical practices, and the use of Multimodal Large Language Models (MLLMs) to address explainability issues.…”
Get full text

Assessing the Capabilities of Generative Pretrained Transformer-4 in Addressing Open-Ended Inquiries of Oral Cancer by Kaiyuan Ji, Jing Han, Guangtao Zhai, Jiannan Liu

“…Introduction and aims: In the face of escalating oral cancer rates, the application of large language models like Generative Pretrained Transformer (GPT)-4 presents a novel pathway for enhancing public awareness about prevention and early detection. …”
Get full text

A Rule-Based Parser in Comparison with Statistical Neuronal Approaches in Terms of Grammar Competence by Simon M. Strübbe, Alexander T. D. Grünwald, Irina Sidorenko, Renée Lampe

“…The purpose of the present study is to compare the performance of our rule-base parser with two state-of-the-art statistical parsers, one based on dependencies between words (SpaCy parser) and the other based on linguistic constituents (Stanford parser). Although large language models (LLMs), which are the technical basis of the software ChatGPT, were not designed specifically for grammatical parsing, because of their popularity, users, especially language learners, often ask them grammatical questions as well. …”
Get full text

Comparing the performance of ChatGPT and ERNIE Bot in answering questions regarding liver cancer interventional radiology in Chinese and English contexts: A comparative study by Xue-ting Yuan, Chen-ye Shao, Zhen-zhen Zhang, Duo Qian

“…Introduction This study aims to critically assess the appropriateness and limitations of two prominent large language models (LLMs), enhanced representation through knowledge integration (ERNIE Bot) and chat generative pre-trained transformer (ChatGPT), in answering questions about liver cancer interventional radiology. …”
Get full text

Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification by Saman Andalib, BS, Sean S. Solomon, BS, Bryce G. Picton, BS, Aidin C. Spina, BS, John A. Scolaro, MD, Ariana M. Nelson, MD

“…This study assesses the effectiveness of large language models (LLMs) in simplifying complex language within orthopaedic patient education materials (PEMs) and identifies predictive factors for successful text transformation. …”
Get full text

Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia by Benedikt Schmidl, Tobias Hütten, Steffi Pigorsch, Fabian Stögbauer, Cosima C. Hoch, Timon Hussain, Barbara Wollenberg, Markus Wirth

“…Advancements in artificial intelligence led to Image recognition being introduced recently into large language models (LLMs) such as ChatGPT 4.0. This exploratory study, for the first time, evaluated the application of image recognition by ChatGPT to diagnose squamous cell carcinoma and leukoplakia based on clinical images, with images without any lesion as a control group. …”
Get full text