Connectionists: GACLM 2025: Generative AI and Computational Language Modelling Conference, 18-21 August, 2025 | Valencia, Spain

Gizem Gültekin Varkonyi emergingtechnetwork.publicity at gmail.com
Tue Mar 25 21:26:55 EDT 2025


[Apologies if you got multiple copies of this invitation]

The 2nd International Generative AI and Computational Language Modelling
Conference (GACLM 2025)


https://gaclm.org/2025/


18-21 August, 2025 | Valencia, Spain


Hybrid Event

Technically Co-Sponsored by IEEE Spain Section

*GACLM 2025 CFP:*

With the emergence of Generative AI (GenAI), the world is experiencing a
new era of generative models producing various types of data, including
textual and visual data. This is accompanied by the unprecedented
advancement of Computational Language Modeling (CLM) techniques that are
supporting a wide range of downstream applications. Both Generative AI and
Computational Language Modeling are leading the paradigm shift we are
witnessing in Artificial Intelligence.

The International Generative AI and Computational Language Modeling
Conference (GACLM 2025) addresses the architectures, applications,
challenges, approaches, and future directions of this new era of Artificial
Intelligence systems based on GenAI and CLM. We invite the submission of
original papers on all topics related to GACLM, with special interest in,
but not limited to, the following:

   - Human-Centered Generative AI
   - Natural Language Processing (NLP)
   - Large Language Models (LLMs)
   - Text generation, summarization, and question answering
   - Sentiment analysis, misinformation detection, and emotion detection
   - Machine translation and multilingual models
   - Language comprehension, grammar and style checking, and complex
   reasoning
   - Document processing and information retrieval
   - Computer-Assisted Language Learning
   - Adversarial machine learning and applications
   - Generative adversarial networks (GANs)
   - GenAI and diffusion models
   - Federated and distributed learning for GenAI
   - Fine-tuning and retrieval-augmented generation (RAG)
   - Synthetic data generation and data augmentation
   - Explainable AI (XAI) and trustworthy AI systems
   - GenAI in healthcare, education, robotics, and smart cities
   - GenAI for cybersecurity and Internet of Things (IoT) systems
   - GenAI for sustainability and human good
   - Computer vision, creative applications, and video generation
   - GenAI ethics and governance



*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the GACLM Proceeding, and
be published by the IEEE Computer Society Conference Publishing Services
and be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers must follow the IEEE paper format. And include up to 7 keywords.
Authors of accepted papers are expected to present their work at the
conference. Submitted papers that are deemed of good quality but that could
not be accepted as regular papers will be accepted as short papers. Length
of short papers can be up to 6 pages.

*Important Dates:*

   - *Paper submission deadline: May 20th 2025*
   - Notification of acceptance: July 15th, 2025
   - Camera-ready Submission: July 31th, 2025



*Contact:*



Please send any inquiry on GACLM to: info at gaclm.org
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