A Framework for Domain-Specific Dataset Creation and Adaptation of Large Language Models by George Balaskas, Homer Papadopoulos, Dimitra Pappa, Quentin Loisel, Sebastien Chastin

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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

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Evaluation of large language models in generating pulmonary nodule follow-up recommendations by Junzhe Wen, Wanyue Huang, Huzheng Yan, Jie Sun, Mengshi Dong, Chao Li, Jie Qin

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Detecting Credit-Seeking Behavior with Programmed Instruction Framesets in a Formal Languages Course by Yusuf Elnady, Mohammed Farghally, Mostafa Mohammed, Clifford A. Shaffer

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Benchmarking with a Language Model Initial Selection for Text Classification Tasks by Agus Riyadi, Mate Kovacs, Uwe Serdült, Victor Kryssanov

“…Benchmarking, a critical step when evaluating AI solutions with machine learning models, particularly with language models, has recently become a focal point of research aimed at reducing AI carbon emissions. …”
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Comparative Evaluation of Multimodal Large Language Models for No-Reference Image Quality Assessment with Authentic Distortions: A Study of OpenAI and Claude.AI Models by Domonkos Varga

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Unsupervised evaluation of pre-trained DNA language model embeddings by Raghav Awasthi, Gayan Samuditha Mend Mend Arachchige, Xiaofeng Zhu

“…Current evaluation approaches assess models based on multiple downstream tasks, which are computationally demanding and fail to evaluate their ability to learn as generalist agents. …”
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A COMPARATIVE STUDY OF COGNITIVE PROCESSING IN ORAL MATHEMATICS TESTS AMONG MALAYSIAN ORANG ASLI PUPILS by Arsaythamby Veloo, S. Kanageswari Suppiah Shanmugam, Suheysen Revindran

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Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks by Diego Frazatto Pedroso, Luis Almeida, Lucas Eduardo Gulka Pulcinelli, William Akihiro Alves Aisawa, Ines Dutra, Sarita Mazzini Bruschi

“…To address this issue, Machine Learning techniques leveraging Large Language Models (LLMs) offer a promising approach for dynamically identifying patterns within these events. …”
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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam Tejani

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Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review by Christos Kokkotis, Ioannis Kansizoglou, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Christina Koutra, Anastasia Beneka, Evangelos Bebetsos

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Hybrid Deep Learning and Fuzzy Matching for Real-Time Bidirectional Arabic Sign Language Translation: Toward Inclusive Communication Technologies by Mogeeb A. A. Mosleh, Ahmed A. A. Mohammed, Ezzaldeen E. A. Esmail, Rehab A. A. Mohammed, Basheer Almuhaya

“…This result indicates that YOLOv8n stands out among other models, particularly for its superior accuracy and lower computational speed. These findings highlighted that the integration of deep learning models and fuzzy string-matching techniques results in significant improvement in both accuracy and speed over baseline models, confirming the feasibility of developing a robust and efficient real-time bidirectional Arabic Sign Language (ArSL) translation system. …”
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Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks by Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker

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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

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A Comparative Analysis of Machine Learning Models in News Categorization by Mohammad Hossein Zolfagharnasab, Siavash Damari

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Accessibility of Massive Open Online Courses in Computer Sciences and Programming for Persons with Disabilities by E. A. Kosova, A S. Gapon, K. I. Redkokosh

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Performance of Large Language Models on the Korean Dental Licensing Examination: A Comparative Study by Woojun Kim, Bong Chul Kim, Han-Gyeol Yeom

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Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations by Dhoyazan Al-Turki, Hansi Hettiarachchi, Mohamed Medhat Gaber, Mohammed M. Abdelsamea, Shadi Basurra, Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj

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LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs by Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi, Evangelos Sakkopoulos, George A. Tsihrintzis, Maria Virvou

“…This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and validatable cross-cultural lyric analysis. …”
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Hybrid ANN-Based and Text Similarity Method for Automatic Short-Answer Grading in Polish by Marwah Bani Saad, Lidia Jackowska-Strumillo, Wojciech Bieniecki

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