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Academic Articles & Research Papers
Showing 20 of 44 academic articles
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen et al. • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2023)
Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot-i.e., without adaptation on downstream data.Recently, the debut of ChatGP...
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DOI: https://doi.org/10.18653/v1/2023.emnlp-main.85
Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz • Applied Sciences
(2024)
Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app142411897
Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research
(2025)
Abstract
BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/71977
Ming-I. Chen, Ying-Lin Hsu, Yi-Hsin Chen • Scientific Reports
(2026)
Abstract Automated ICD-10-CM coding is critical for hospital reimbursement under Diagnosis-Related Group (DRG) payment systems, yet standard metrics weight all errors equally. This study evaluated 11 models on MIMIC-IV under heterogeneous c...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-57682-0
Anna-Maria De Cesare • Linguistik Online
(2026)
As has been shown in various studies considering different languages, in professional contexts women tend to be referred to differently than men. While men are typically referred to by their surname (e. g., Fermi), women are more often refe...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/tsh3js82
Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry • BMC Oral Health
(2025)
Abstract Background The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large langua...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12903-025-06624-9
Sangyeop Yeo, Yu-Seung Ma, Sang Cheol Kim, Hyungkook Jun et al. • ETRI Journal
(2024)
Large language models (LLMs) have revolutionized various applications in natural language processing and exhibited proficiency in generating programming code. We propose a framework for evaluating the code generation ability of LLMs and int...
DOAJ
Open Access (DOAJ)
DOI: 10.4218/etrij.2023-0357
Zabir Al Nazi, Wei Peng • Informatics
(2024)
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuan...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/informatics11030057
Roberto Zamparelli • IJCoL
(2024)
Thanks to independent advances in language and image generation, we could soon be in the position to have systems that communicate with us by combining language and images in their output, a skill that humans do not possess (we receive, but...
DOAJ
Open Access (DOAJ)
Vinit Mehta, Charu Sharma, Karthick Thiyagarajan • Sensors
(2025)
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhancing robotic sensing technologies. This convergence enables ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206394
Muhammad Shoaib Farooq, Syed Muhammad Asadullah Gilani, Muhammad Faraz Manzoor, Momina Shaheen • Information
(2025)
Fake news is false or misleading information that looks like real news and spreads through traditional and social media. It has a big impact on our social lives, especially in politics. In Pakistan, where Urdu is the main language, finding ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info16070595
Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans
(2025)
Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.chbah.2024.100103
Danielle Ryder • Discover Artificial Intelligence
(2026)
Abstract This paper proposes a hierarchy of epistemic betrayal that distinguishes deceptive behaviors in large language models (LLMs) by the depth at which the infrastructure for epistemic correction is compromised. Drawing on Park et al.’s...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01438-2
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
DOAJ
Open Access (DOAJ)
Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin et al. • Visual Intelligence
(2024)
Abstract The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44267-024-00070-x
Róbert Skapinyecz • Machine Learning and Knowledge Extraction
(2026)
The paper presents a novel large language model-based neighbourhood search method for production scheduling using discrete-event simulation (DES) as the modelling and evaluation engine. The combination of large language models (LLMs) and DE...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/make8090284
Rok Rajher, Mila Marinković, Polona Rus Prelog, Jure Žabkar • Scientific Reports
(2025)
Abstract Schizophrenia is a chronic and severe mental disorder that still relies on time-intensive, clinician-administered assessments. Although several automated approaches have been proposed to support diagnosis, these systems often lack ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-33129-w
Bharat Prakash, Tim Oates, Tinoosh Mohsenin • Proceedings of the International Florida Artificial Intelligence Research Society Conference
(2024)
Solving long-horizon, temporally-extended tasks using Reinforcement Learning (RL) is challenging, compounded by the common practice of learning without prior knowledge (or tabula rasa learning). Humans can generate and execute plans with te...
DOAJ
Open Access (DOAJ)
DOI: 10.32473/flairs.37.1.135602
Eleni Fotopoulou, Anastasios Zafeiropoulos, Eleftheria Arkadopoulou, Christina-Maria Androna et al. • IEEE Access
(2026)
The positive impact of Social and Emotional Learning (SEL) activities in schools is widely recognized in various sectors, including mental health, social relationships, and academic performance of students. This impact can be efficiently re...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3671870
Baleegh Elsir Ahmed Mohammed, Tanzeel Elsir Ahmed Mohammed, Anthony Paul Breitbach • Sudan Journal of Medical Sciences
(2026)
Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...
DOAJ
Open Access (DOAJ)
DOI: 10.18502/sjms.v21i2.19868