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Found 3 papers, 1 papers with code
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations
In this paper we propose an extension to a specific emerging hybrid document distance metric which combines topic models and word embeddings: the Hierarchical Optimal Topic Transport (HOTT).
Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applications
In this work, I discuss how Large Language Models can be applied in the legal domain, circumventing their current drawbacks.
Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions
Getting an overview over the legal domain has become challenging, especially in a broad, international context.
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