Personalized Generative AI

The primary theme of the workshop for this year 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:

1. Investigating novel techniques for efficient and effective fine-tuning of LLMs on user data

2. AI agents that leverage user preferences, behaviors, and contextual information to deliver personalized experiences

3. Addressing ethical concerns and privacy risks associated with LLMs

4. Interpretable and explainable personalized AI

5. Evaluating the performance, fairness, robustness, and overall impact of personalized LLM-based systems 

6. Data resources comprising a task with personalized information

7. 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.)

• September 10, 2023: Paper submission deadline

• September 25, 2023: Paper acceptance notification

• October 22, 2023: Workshop date

All submissions will be peer reviewed (double-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submission must be written in English and formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template.

The workshop proceedings will be purely digital and non-archival.

The workshop follows a double-blind reviewing process. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper either remote or on location (strongly preferred).

We invite research contributions, position, demo and opinion papers. Submissions must either be short (at most 4 pages) or full papers (at most 9 pages). References do not count against the page limit.  We also allow for an unlimited number of pages for appendices in the same PDF.

We encourage but do not require authors to release any code and/or datasets associated with their paper.

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