ICGPTM 2026: 20. International Conference on Generative Pretrained Transformer Models

February 04-05, 2026 in Bangkok, Thailand

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Conference Code: 26THBA02ICGPTM001

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The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

International Conference on Generative Pretrained Transformer Models aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Generative Pretrained Transformer Models. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Generative Pretrained Transformer Models.

Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Generative Pretrained Transformer Models are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.

Guidelines for Authors

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

20. International Conference on Generative Pretrained Transformer Models has teamed up with the Special Journal Issue on Generative Pretrained Transformer Models. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Application Forms

Selected Papers

A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
Using Historical Data for Stock Prediction of a Tech Company
Sofia Stoica
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
RV-YOLOX: Object Detection on Inland Waterways Based on Optimized YOLOX through Fusion of Vision and 3+1D Millimeter Wave Radar
Zixian Zhang, Shanliang Yao, Zile Huang, Zhaodong Wu, Xiaohui Zhu, Yong Yue, Jieming Ma
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
Climate Change in Albania and Its Effect on Cereal Yield
L. Basha, E. Gjika
A Text Classification Approach Based on Natural Language Processing and Machine Learning Techniques
Rim Messaoudi, Nogaye-Gueye Gning, François Azelart
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
Emerging Technology for 6G Networks
Yaseein S. Hussein, Victor P. Gil Jiménez, Abdulmajeed Al-Jumaily
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
AI-Driven Cloud Security: Proactive Defense Against Evolving Cyber Threats
Ashly Joseph
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
Imputing Missing Data in Electronic Health Records: A Comparison of Linear and Non-Linear Imputation Models
Alireza Vafaei Sadr, Vida Abedi, Jiang Li, Ramin Zand
Unveiling the Mathematical Essence of Machine Learning: A Comprehensive Exploration
Randhir Singh Baghel
Cognition Technique for Developing a World Music
Haider Javed Uppal, Javed Yunas Uppal

Conference venue information will be released soon.

Generative-AI Advancements:

Exploration of the latest advancements and innovations in Generative Pretrained Transformer (GPT) Models
Applications, improvements, and potential breakthroughs in generative AI

Critical Issues on Input Data:

Addressing challenges related to the quality, diversity, and biases in input data for training GPT models
Strategies for handling and preprocessing various types of input data

Critical Issues on Processing:

In-depth analysis of computational challenges and resource requirements for training and fine-tuning GPT models
Optimization techniques for efficient processing

Output Quality:

Evaluating and enhancing the quality of generated outputs from GPT models
Metrics and methodologies for assessing the performance and reliability of generated content

Education and Academic Liability Issues:

Discussing the implications of using GPT models in educational settings
Addressing academic responsibility, ethical considerations, and potential challenges in deploying AI models in educational contexts

Regulations and Limitations:

Exploring regulatory frameworks and ethical guidelines for the deployment of GPT models
Examining limitations and constraints in the use of generative AI, including legal and ethical considerations

Case Studies with Analysis and Testing AI Applications:

Presenting real-world case studies showcasing the application of GPT models across various industries
Analyzing the performance, challenges, and lessons learned from implementing GPT-based solutions

Interdisciplinary Collaborations:

Encouraging interdisciplinary collaborations between researchers and industry professionals to address complex challenges
Bridging the gap between theoretical research and practical applications

Human-AI Collaboration:

Exploring the role of human-AI collaboration in improving the effectiveness and usability of GPT models
Designing interfaces and workflows that facilitate collaboration between humans and AI systems

Ethical Considerations and Bias Mitigation:

Discussing ethical considerations in the development and deployment of GPT models
Strategies for mitigating biases and ensuring fairness in generative AI applications

Abstracts/Full-Text Paper Submission Deadline		February 13, 2025
Notification of Acceptance/Rejection		February 27, 2025
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		January 04, 2026
Conference Dates		February 04-05, 2026