About us

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.

Important Dates

Thu, Apr 30, 2026
Abstracts/Full-Text Paper Submission Deadline
Thu, May 14, 2026
Notification of Acceptance/Rejection
Thu, Jun 11, 2026
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
Thu, Jul 9, 2026
Conference Dates

Call For Paper

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

We invite researchers, scholars, and practitioners to submit their original research papers for presentation at the conference. All submissions will be peer-reviewed and selected based on their quality and relevance to the conference themes.

Committee

Conference Committee

Jizhou Tong

Gannon University, United States

Sachin Parajuli Parajuli

University of Texas at Arlington, United States

Umamaheswara Rao Kukkala

Colorado Technical University, United States

Shamnad Mohamed Shaffi

Dakota State University, United States

Adarsh Mittal

University of Wisconsin Madison, United States

Ankita Samaddar

Vanderbilt University, United States

Kamrul Hasan

Grand Valley State University, United States

Tianqi Liu Liu

Cornell University, United States

Yuqing Wang

Microsoft, United States

Lakshmojee Koduru

Google, United States

Narang Dixita Sohanlal

Stony Brook University, United States

Amirhossein Panahi Panahi

University of California San Diego, United States

Velimir Monty Vesselinov

Envitrace LLC, United States

Shrey Modi

California State University Long Beach, United States

Shivanjali Khare

University of New Haven, United States

Manas Joshi

Microsoft, United States

Anjali Sreekumar

Open University of Catalonia, United States

Yinxiao Li

Meta Platforms, United States

Sandesh Achar

Visvesvaraya Technological University, United States

Hangwei Lu

University of Florida, United States

Blessing Ojeme

University of Georgia, United States

Vishesh Mistry

Tech5, United States

Dan Wang

Stevens Institute of Technology, United States

Catherine Fang

Carnegie Mellon University, United States

Rushit Dave

University Of Wisconsin, Eau Claire, United States

Akansha Kumar

Texas A&M University, United States

Akilesh Rajavenkatanarayanan

The University of Texas at Arlington, United States

Mahdi Imani

George Washington University, United States

Arash Mahyari

Florida Institute For Human and Machine Cognition, United States

Ayush Singhal

University of Minnesota, United States

Tickets
Conference Fee Structure
Registration TypeGeneral Registration
Non-Student Oral/Poster Presenter Registration
€500€450
Student Oral/Poster Presenter Registration
€400€350
Listener Registration
€300€250
Additional Paper Publication
€100€100