Leveraging ensemble LLMs and contextual embeddings for case-based reasoning in the legal domain.
(2025)
Presentation / Conference Contribution
ABEYRATNE, R. 2025. Leveraging ensemble LLMs and contextual embeddings for case-based reasoning in the legal domain. In Martin, K. and Ye, X. (eds.) ICCBR-WS 2025: joint proceedings of the workshops and doctoral consortium at the 33rd International conference on case-based reasoning (ICCBR-WS 2025) co-located with the 33rd International conference on case-based reasoning (ICCBR 2025), 30 June 2025, Biarritz, France. CEUR workshop proceedings, 3993. Aachen: CEUR-WS [online], pages 68-73. Available from: https://ceur-ws.org/Vol-3993/short1.pdf
This research investigates the integration of Case-Based Reasoning (CBR) with Retrieval-Augmented Generation (RAG) for Large Language Models (LLMs) to enhance the reliability of legal question-answering systems. Thus far, we have developed a structur... Read More about Leveraging ensemble LLMs and contextual embeddings for case-based reasoning in the legal domain..