[CfP] Special Session on Evolving Knowledge in Large Language Models - IEEE EAIS 2026

[Alessandro Bondielli]

[Apologies for Cross Posting]

We invite submissions to the Special Session on “Evolving Knowledge in Large Language Models”, held within the 2026 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS 2026), taking place at the University of Pisa (Italy), September 21–23, 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special session focuses on methods that enable LLMs to evolve after deployment—adapting to new information, revising outdated or incorrect facts, selectively forgetting learned content, and remaining reliable over time. 

While Retrieval-Augmented Generation (RAG) can inject external knowledge at inference time, it does not fully address outdated internal representations or cases where retrieval is impractical.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 must be submitted following the IEEE EAIS 2026 submission and formatting guidelines. 

All submissions will be peer-reviewed and evaluated based on originality, technical quality, relevance to the special session, and clarity. 

Please refer to the EAIS 2026 submission instructions (https://ai.dii.unipi.it/eais-2026-submission/) and the main conference website (https://ai.dii.unipi.it/eais2026/) for detailed formatting and submission procedures.

Organizers

Alessandro Bondielli, Department of Computer Science, University of Pisa

Antonio Carta, Department of Computer Science, University of Pisa

Andrea Cossu, Department of Computer Science, University of Pisa

Lucia Passaro, Department of Computer Science, University of Pisa

Contacts

For any inquiry, please contact us at: alessandro dot bondielli at unipi dot it

We look forward to your contributions and to an engaging discussion on how to build LLMs that can continuously evolve in changing environments.

Best regards,

The Special Session Organizers