2 citations · 4 across the 15 of their papers we have counts for
10 papers · 1 filter
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…
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…
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,…