2 citations · 4 across the 15 of their papers we have counts for
15 papers
Beyond Accuracy: A Dual-Judge Evaluation Protocol for Vision-Language Models in Legally Grounded Tasks
Su Myat Noe, Ha Thanh Nguyen, May Myo Zin +1
AI systems are increasingly evaluated for legally accountable settings, where correct outputs must also be justifiable against an applicable legal standard. Existing legal-AI bench…
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…
PYTHEN: A Flexible Framework for Legal Reasoning in Python
Ha-Thanh Nguyen, Ken Satoh
This paper introduces PYTHEN, a novel Python-based framework for defeasible legal reasoning. PYTHEN is designed to model the inherently defeasible nature of legal argumentation, pr…
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…
Multi-Agent Legal Verifier Systems for Data Transfer Planning
Ha-Thanh Nguyen, Wachara Fungwacharakorn, Ken Satoh
Legal compliance in AI-driven data transfer planning is becoming increasingly critical under stringent privacy regulations such as the Japanese Act on the Protection of Personal In…
Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies
Wachara Fungwacharakorn, Nguyen Ha Thanh, May Myo Zin +1
This paper presents a novel approach termed Layer-of-Thoughts Prompting (LoT), which utilizes constraint hierarchies to filter and refine candidate responses to a given query. By i…
Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024)
Ken Satoh, Ha-Thanh Nguyen, Francesca Toni +2
Reasoning is an essential component of human intelligence as it plays a fundamental role in our ability to think critically, support responsible decisions, and solve challenging pr…
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination
Ha-Thanh Nguyen, Hiroaki Yamada, Ken Satoh
In this paper, we explore the application of Generative Pre-trained Transformers (GPTs) in cross-lingual legal Question-Answering (QA) systems using the COLIEE Task 4 dataset. In t…
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
Hai-Long Nguyen, Duc-Minh Nguyen, Tan-Minh Nguyen +3
Large language models with billions of parameters, such as GPT-3.5, GPT-4, and LLaMA, are increasingly prevalent. Numerous studies have explored effective prompting techniques to h…
Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
Ha-Thanh Nguyen, Ken Satoh
Finetuning approaches in NLP often focus on exploitation rather than exploration, which may lead to suboptimal models. Given the vast search space of natural language, this limited…
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications
Ha-Thanh Nguyen, Wachara Fungwacharakorn, Ken Satoh
Language serves as a vehicle for conveying thought, enabling communication among individuals. The ability to distinguish between diverse concepts, identify fairness and injustice,…