Computing educators face significant challenges in providing timely supp...
In this article, we introduce LLMediator, an experimental platform desig...
We evaluated the capability of a generative pre-trained transformer (GPT...
We evaluated the capability of generative pre-trained transformers (GPT-...
This paper studies recent developments in large language models' (LLM)
a...
Interpreting the meaning of legal open-textured terms is a key task of l...
We evaluated the capability of a state-of-the-art generative pre-trained...
We evaluated the capability of generative pre-trained transformers (GPT)...
We analyzed effectiveness of three generative pre-trained transformer (G...
We propose an adaptive environment (CABINET) to support caselaw analysis...
Machine learning research typically starts with a fixed data set created...
Human-performed annotation of sentences in legal documents is an importa...
In this paper, we examine the use of multi-lingual sentence embeddings t...
We analyze the ability of pre-trained language models to transfer knowle...
Legal texts routinely use concepts that are difficult to understand. Law...
In this paper, we present a method of building strong, explainable
class...
In this paper, we introduce the citation data of the Czech apex courts
(...