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Einblick - Legal AI
Enhancing Legal Question Answering with Case-Based Reasoning and Retrieval-Augmented Generation
Integrating Case-Based Reasoning (CBR) with Retrieval-Augmented Generation (RAG) in Large Language Models (LLMs) can improve the quality and factual correctness of generated answers for legal questions by providing relevant contextual information from a case-base.
From Graph to Word Bag: Enhancing Charge Prediction with Domain Knowledge
Legal AI models can improve charge prediction accuracy by leveraging domain knowledge through the innovative From Graph to Word Bag (FWGB) approach.
From Graph to Word Bag: Enhancing Legal AI Charge Prediction with Domain Knowledge
Introducing domain knowledge through a novel approach improves charge prediction in legal AI.
From Graph to Word Bag: Enhancing Legal Charge Prediction with Domain Knowledge
The author introduces the FWGB approach, leveraging domain knowledge to guide models in distinguishing confusing charges effectively.
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