The Second International Conference on Generative Pre-trained Transformer Models and Beyond

GPTMB 2025

July 06, 2025 to July 10, 2025 - Venice, Italy

Deadlines

Submission

Apr 14, 2025

Notification

May 07, 2025

Registration

May 18, 2025

Camera ready

Jun 01, 2025

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

GPTMB 2025 - The Second International Conference on Generative Pre-trained Transformer Models and Beyond

July 06, 2025 - July 10, 2025

GPTMB 2025: Awards
Onsite and Online Options: In order to accommodate various situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).

The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.

 

Awarded Papers (also Invited for IARIA Journals)

Designing A New Graduate Course on Artificial Intelligence for Cybersecurity
Ping Wang
 
Retrieval Performance in RAG Systems: A Component-Level Evaluation Framework
Alexander Kreß, Alexander Lawall, Thomas Zöller

 

The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.

Papers Invited for IARIA Journals

Assessing the Capabilities of Large Language Models in Translating American Sign Language Gloss to English
Jalal Al-Afandi, Péter Pócsi, Gábor Borbély, Helga M. Szabó, Ádám Rák, Zoslt Robotka, András Horváth
 
Estimating the Risk of Failing Physics Courses through the Monte Carlo Simulation
Isaac Caicedo-Castro, Rubby Castro-Púche, Samir Castaño-Rivera

 

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