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

at Merida, Yucatán, México

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 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.

Key Dates

Accepted Papers

* Accepted for the main conference but included for discussion in the workshop

Workshop Themes

 The workshop will focus on several key areas, including but not limited to:

Interest to ICCBR Attendees

2023 was the year Large Language Models broke into public attention with the release of ChatGPT. The potential of LLMs to act as a conversational interface to CBR systems for query formulation and solution explanation seems obvious but has yet to be explored. Conversely, using CBR to improve prompt engineering is another area of potential interest [Madaan et al., arXiv, 2023]. In addition, LLMs can also be used to limit the knowledge acquisition and modelling efforts for initially creating and representing knowledge in the CBR knowledge containers [Richter, 2003]. Currently, most of these approaches are used for AI planning [Liu et al., arXiv, 2023][Guan et al., arXiv, 2023], but their potential for CBR should also be investigated. Finally, the technologies associated with LLMs, such as vector databases and Approximate Nearest Neighbor retrieval [Jalali and Leake, 2018], are of great interest to CBR and due to the capabilities of large generative models, we believe many ICCBR attendees will be interested in a workshop on CBR-LLM synergies.

Cover Photo by Bhargava Marripati