The primary theme of the inaugural PGAI workshop is "Personalization meets Large Language Models". The workshop’s purpose is to foster a platform where researchers and practitioners from academia and industry can discuss novel ideas, techniques, and methodologies to integrate personalization into LLMs effectively. Our topics include, but are not limited to, the following areas:

- Investigating novel techniques for efficient and effective fine-tuning of LLMs on user data
- AI agents that leverage user preferences, behaviors, and contextual information to deliver personalized experiences
- Addressing ethical concerns and privacy risks associated with LLMs
- Interpretable and explainable personalized AI
- Evaluating the performance, fairness, robustness, and overall impact of personalized LLM-based systems
- Data resources comprising a task with personalized information
- Applications of personalization-aware LLMs in Natural Language Processing/Information Retrieval (e.g., personalized search and recommendation, personalized text generation) and in other fields (e.g., finance, healthcare, social media, climate, etc.)

Submission Link: https://easychair.org/conferences/?conf=pgaicikm2023