7 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…
Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning
Jieying Xue, Phuong Minh Nguyen, Ha Thanh Nguyen +2
This work aims to improve the generalization of logic-based legal reasoning systems by integrating recent advances in NLP with legal-domain adaptive few-shot learning techniques us…
Data Augmented Pipeline for Legal Information Extraction and Reasoning
Nguyen Minh Phuong, Ha-Thanh Nguyen, May Myo Zin +1
In this paper, we propose a pipeline leveraging Large Language Models (LLMs) for data augmentation in Information Extraction tasks within the legal domain. The proposed method is b…
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…
FC-CONAN: An Exhaustively Paired Dataset for Robust Evaluation of Retrieval Systems
Juan Junqueras, Florian Boudin, May-Myo Zin +5
Hate speech (HS) is a critical issue in online discourse, and one promising strategy to counter it is through the use of counter-narratives (CNs). Datasets linking HS with CNs are…
Argumentative Reasoning with Language Models on Non-factorized Case Bases
Wachara Fungwacharakorn, May Myo Zin, Ha-Thanh Nguyen +2
In this paper, we investigate how language models can perform case-based reasoning (CBR) on non-factorized case bases. We introduce a novel framework, argumentative agentic models…