5 citations · 9 across the 6 of their papers we have counts for
6 papers
GDPR Auto-Formalization with AI Agents and Human Verification
Ha Thanh Nguyen, Wachara Fungwacharakorn, Sabine Wehnert +6
We study the overall process of automatic formalization of GDPR provisions using large language models, within a human-in-the-loop verification framework. Rather than aiming for fu…
Can Legislation Be Made Machine-Readable in PROLEG?
May-Myo Zin, Sabine Wehnert, Yuntao Kong +7
The anticipated positive social impact of regulatory processes requires both the accuracy and efficiency of their application. Modern artificial intelligence technologies, includin…
HiPS: Hierarchical PDF Segmentation of Doctrinal Legal Books
Sabine Wehnert, Harikrishnan Changaramkulath, Ivan Habernal
PDF parsers have recently improved on page-level layout understanding. However, recovering a document-global section hierarchy with reliable boundaries remains brittle for deeply s…
Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training
Sabine Wehnert, Muhammet Ertas, Ernesto William De Luca
Natural Language Processing (NLP) is vital for computers to process and respond accurately to human language. However, biases in training data can introduce unfairness, especially…
Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applications
Sabine Wehnert
In this work, I discuss how Large Language Models can be applied in the legal domain, circumventing their current drawbacks. Despite their large success and acceptance, their lack…
Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions
Sabine Wehnert, Sayed Anisul Hoque, Wolfram Fenske +1
Getting an overview over the legal domain has become challenging, especially in a broad, international context. Legal question answering systems have the potential to alleviate thi…