![]() | CBR-LLM @ ICCBR-24: Workshop on Case-Based Reasoning and Large Language Model Synergies at ICCBR-24 |
Website | https://cbr.rguairgroup.com/home |
Submission deadline | April 1, 2024 |
Notification of Acceptance | April 17, 2024 |
Camera-Ready Copy Deadline | May 1, 2024 |
Workshop Date | July 1, 2024 |
Call for Papers: Workshop on Case-Based Reasoning and Large Language Model Synergies (CBR-LLM)
Synergies Unleashed: Exploring the Fusion of Case-Based Reasoning and Large Language Models in AI
Announcing the Case-Based Reasoning and Large Language Models Synergies Workshop at ICCBR 2024 in Merida, Yucatán, México. This workshop will explore opportunities for combining Case-Based Reasoning (CBR) and Large Language Models (LLMs), fostering a more profound 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 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, including references): Original research contributions with comprehensive results.
- Short position papers (at least 5 up to 9 pages, including references): Preliminary findings, new research ideas, or conceptual frameworks.
Submissions are invited on areas including but not limited to:
- 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 engineering 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 fusing CBR and LLMs.
- Future directions and emerging trends at the intersection of CBR and LLMs.
Submission Guidelines:
- Please submit papers using the EasyChair conference management system here: https://easychair.org/conferences/?conf=iccbr2024
- Papers must be submitted via EasyChair in electronic form as PDF using the CEUR-WS template. This is the format required for the final camera-ready copy.
- The accepted papers will be included in the ICCBR workshop proceedings, which will collect all workshop papers of ICCBR 2024. The workshop papers are indexed by DBLP and openly available. CBR-LLM workshop papers must use the CEUR-WS LaTeX template file or the CEUR-WS Word template.
- Submissions will undergo a single-blind peer review process.
- Authors are encouraged to focus on clarity, conciseness, and relevance to the workshop themes.
Key Dates:
- Submission Deadline: April 1, 2024
- Notification of Acceptance: April 17, 2024
- Submission Deadline for Camera-Ready Copy: May 1, 2024
- Workshop Date: July 1, 2024
Participation and Registration:
- Details on registration and participation will be provided on the ICCBR 24 website.
- At least one author of each accepted paper must register for the workshop.
Workshop 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:
Workshop website: https://cbr.rguairgroup.com/home
For any inquiries, please contact: dr.i.watson@gmail.com