Personalization in the Era of Large Foundation Models Workshop @ AAAI 2026

— Shaping the Next Generation of AI Systems

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News

🎉 2025-09-11: Website launched and call for contributions open!
Submit your paper: 🔥🔥🔥 OpenReview
Welcome to join our Slack workspace

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Workshop Introduction

While foundation models excel across NLP, computer vision, and multimodal tasks, they cannot capture individual user characteristics—preferences, behavioral patterns, and contextual needs—creating a disconnect between general intelligence and personalized user experience. This workshop “Personalization in the Era of Large Foundation Models (PerFM 2026)” will unite researchers and practitioners to explore theoretical foundations, scalable architectures, evaluation methods, lifelong learning, and ethical considerations, shaping the next generation of AI systems that adapt to and grow with individual users. We welcome original work, recently published work, and work-in-progress.

🔥 Submit Your Paper to PerFM 2026

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Call for Contributions (Topics and Scope)

We welcome submissions on topics including but not limited to:

🔬 Theoretical Foundations: Generalization and stability under personalization, user heterogeneity, multi-task and meta-learning theory, privacy–utility trade-offs.

🛠️ Benchmarks and Tooling: Datasets, metrics, simulators, open-source libraries, evaluation frameworks across tasks, modalities, data sources, and demographic groups.

🏗️ Architectures and Algorithms: Parameter-efficient tuning, preference alignment, retrieval-augmented personalization, federated and decentralized personalization, on-device adaptation, agentic personalization frameworks.

🧠 Memory and Lifelong Learning: Continuous user adaptation, balancing short-term contextual awareness with long-term memory persistence, catastrophic forgetting prevention, evolving user preference modeling.

⚡️ Efficiency and Scalability: Computational optimization for millions of users, model compression, distributed serving, cold start strategies for new users, lightweight deployment, parameter sharing across users, cloud-edge collaborative efficiency.

🚀 Applications: Dialogue systems, recommendation, healthcare, education, finance, scientific discovery, time-series forecasting.

🛡️ Trustworthiness: Safety, robustness, fairness, algorithmic bias across demographics, transparency in personalized decisions, privacy-preserving policies for personal data collection and storage, societal implications of widespread personalized AI deployment.

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Submissions and Timeline

⏰ Important Dates (AoE Time)

Abstract submission deadline: October 17, 2025
Paper submission deadline: October 22, 2025
Author notification: November 5, 2025
Camera-ready submission: TBA
Workshop date: January 27, 2026 (at AAAI 2026)

🔥 Submission Guidelines

Use the AAAI 2026 style file for formatting.
Submissions should be PDFs of 6-8 pages for full papers or 2-4 pages for short/position papers (excluding references and appendices).
Double-blind review.
By default, submissions are non-archival.
Outstanding papers will be selected for lightning talks and a best paper award will be announced at the workshop.