CALL FOR PAPERS

Workshop on Case-Based Reasoning and Large Language Model Synergies (CBR-LLM)

July 1 Merida, Yucatan, Mexico
www.iccbr24.org/workshops

This workshop will explore opportunities for combining Case-Based Reasoning (CBR) and Large Language Models (LLMs), fostering a deeper understanding of their synergistic potential. This workshop will present an excellent opportunity for researchers and practitioners to discuss and share their insights on this new, exciting and rapidly evolving field of AI. We look forward to your contributions and an engaging and informative workshop.

Topics of Interest

Integration of CBR with LLMs for enhanced reasoning and decision-making.
CBR for prompt engineering for LLMs.
CBR for Retrieval Augmented Generation (RAG) for LLMs.
CBR for explaining LLM output (XAI).
CBR to provide guardrails and improve the alignment of LLMs.
LLMs for knowledge acquisition and modelling in CBR (case extraction, vocabulary, retrieval).
Multimodal LLMs and CBR.
Applications of LLMs enhancing the capabilities of CBR systems.
Case studies showcasing successful implementations of CBR-LLM synergies.
Ethical, scalability and maintenance considerations and challenges in usingCBR and LLMs.
Future directions and emerging trends at the intersection of CBR and LLMs.

Participation

We invite submissions that provide novel insights, research findings, or practical applications in the following formats:

Full research papers (at least 10 up to 16 pages): Original research contributions with comprehensive results.
Short position papers (at least 5 up to 9 pages): Preliminary findings, new research ideas, or conceptual frameworks.

Submissions will undergo a single-blind peer review process. Authors are encouraged to focus on clarity, conciseness, and relevance to the workshop themes.

Accepted papers will be included in the CEUR-WS proceedings, indexed by SCOPUS and Google Scholar, ensuring wide dissemination of your valuable work.

For a paper to appear in the proceedings, at least one of the authors must register for the AI track by the camera-ready copy deadline. Papers must be presented by one of the authors at the conference live. There will be no video presentations.

Submissions

Please, check the workshop website for submission instructions.

Web Site

Important Dates

Submission Deadline:	April 1, 2024
Notification of Acceptance:	April 17, 2024
Camera-ready Version:	May 1, 2024
Special Track Date:	July 1, 2024

Organizing Committee

David Leake — The Luddy School of Informatics, Computing, and Engineering, Indiana University
Lukas Malburg — University of Trier & German Research Center for Artificial Intelligence (DFKI), Germany
Stewart Massie — Artificial Intelligence and Reasoning Group, Robert Gordon University
Ian Watson — School of Computer Science, University of Auckland (retired), New Zealand.
Rosina Weber — Drexel University's College of Computing & Informatics (CCI)
Nirmalie Wiratunga — Artificial Intelligence and Reasoning Group, Robert Gordon University

Contact Information

For further details, visit the website at https://iccbr24.org/workshops, or contact the special track chairs.