[CfP] Reminder – Special Session on Evolving Knowledge in LLMs - IEEE EAIS 2026 (Deadline: March 15)

[Alessandro Bondielli]

[Apologies for cross-posting]

This is a kind reminder that the submission deadline for the Special Session on “Evolving Knowledge in Large Language Models” at EAIS 2026 is approaching in two weeks.

The session will be held within the IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS 2026), taking place at the University of Pisa (Italy) on September 21–23, 2026.

🚨Paper submission deadline: March 15, 2026

Special Session webpage:

https://sites.google.com/unipi.it/eais2026evolvingknowledgellms/home 

Aim and Scope

Large Language Models (LLMs) have achieved remarkable performance, yet their knowledge is largely static after training. Updating or correcting knowledge often requires costly retraining, limiting deployment in dynamic real-world settings. This special session focuses on methods that enable LLMs to evolve after deployment—adapting to new information, revising outdated or incorrect facts, selectively forgetting learned content, and remaining reliable over time. 

While Retrieval-Augmented Generation (RAG) can inject external knowledge at inference time, it does not fully address outdated internal representations or cases where retrieval is impractical. Efficient updating, adaptation, and forgetting are also crucial for practical, ethical, and safety reasons—especially in high-impact applications. 

The special session aims to bring together communities working on continual learning, knowledge editing, machine unlearning, and parameter-efficient adaptation, as well as evaluation frameworks that support continuous evolution without catastrophic forgetting.

Topics of Interest (including but not limited to)

• Online and continual learning methods for LLMs
• Knowledge editing and targeted model updates
• Machine unlearning and selective forgetting
• Parameter-efficient adaptation strategies (including test-time / inference-time methods)
• Evaluation protocols and benchmarks for adaptability, retention, and forgetting
• Automated knowledge updating in Retrieval-Augmented Generation (RAG) systems (e.g., ingestion and incremental updates)

Important Dates

• Paper submission deadline: March 15, 2026
• Notification of acceptance: May 15, 2026
• Camera-ready submission: June 15, 2026
• Author registration deadline: June 30, 2026
• Conference dates: September 21–23, 2026

Submission Guidelines

Papers (max 8 pages + up to 2 additional pages) must follow the IEEE format for EAIS 2026 and be submitted via EasyChair. All submissions will be peer-reviewed and evaluated based on originality, technical quality, relevance to the special session, and clarity. 

The proceedings will be published in the IEEE Xplore Digital Library, and selected papers may be invited for an extended version in a special issue of Evolving Systems – An Interdisciplinary Journal for Advanced Science and Technology (Springer).

Submission instructions:

https://ai.dii.unipi.it/eais-2026-submission/ 

Main conference website:

https://ai.dii.unipi.it/eais2026/ 

Organizers

Alessandro Bondielli, Antonio Carta, Andrea Cossu, Lucia Passaro

University of Pisa, Pisa, Italy

Contact

For inquiries, please contact:

alessandro dot bondielli at unipi dot it

We look forward to receiving your contributions and to fostering discussion on how to design Large Language Models that can continuously evolve in changing environments.

Best regards,

The Special Session Organizers