[HPSG-L] Call for Papers: Special Session on Large Language Models (LLMs): Advancing Foundations, Safety, and Emerging Capabilities at JCSSE 2026 conference

Nuttanart Muansuwan kdmuansuwan at hotmail.com
Fri Jan 30 03:36:16 UTC 2026


Call for Papers: Special Session on Large Language Models (LLMs): Advancing Foundations, Safety, and Emerging Capabilities
https://jcsse2026.org/special-session/
JCSSE 2026 | 24-27 June 2026, Bangkok, Thailand

Dear Colleagues,
We are pleased to invite you to submit your latest research to our Special Session on Large Language Models (LLMs) at the 23rd International Joint Conference on Computer Science and Software Engineering (JCSSE 2026).
As LLMs continue to redefine the boundaries of artificial intelligence, this session aims to provide a forum for high-quality research and substantive innovations across the full LLM spectrum—from foundational architectures to ethical governance.

Scope and Topics
We seek original contributions addressing, but not limited to, the following areas:
•     Foundational Advances: Model architecture, training efficiency, and scaling laws.
•     Specialization & Adaptation: Advanced fine-tuning techniques (e.g., LoRA, QLoRA) and domain-specific adaptation.
•     Scalable Deployment: Retrieval-Augmented Generation (RAG) and efficient inference pipelines.
•     Safety & Ethics: Security (prompt injection), alignment, interpretability, and bias mitigation.
•     Emerging Capabilities: Complex reasoning, multi-agent systems, and multimodal LLM development.

Submission Guidelines
•     Paper Format & Submission Portal: https://jcsse2026.org/paper-submission/
•     Review Process: All submissions will undergo a rigorous peer-review process based on originality, technical quality, and relevance.

Important Dates

Submission Deadline     31 January 2026 (First round) & 31 March 2026 (Second round)
Notification of Acceptance    1 March 2026 (First round) & 30 April 2026 (Second round)
Camera-Ready Version    1 March – 15 May 2026
Conference Dates  24-27 June 2026

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Nuttanart Muansuwan, Ph.D. Assistant Professor, CPE King Mongkut's University of Technology Thonburi


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