2 citations · 4 across the 8 of their papers we have counts for
8 papers
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…
RMDM: A Multilabel Fakenews Dataset for Vietnamese Evidence Verification
Hai-Long Nguyen, Thi-Kieu-Trang Pham, Thai-Son Le +3
In this study, we present a novel and challenging multilabel Vietnamese dataset (RMDM) designed to assess the performance of large language models (LLMs), in verifying electronic i…
NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models
Tan-Minh Nguyen, Xuan-Hoa Nguyen, Ngoc-Duy Mai +5
This paper describes the NOWJ1 Team's approach for the Automated Legal Question Answering Competition (ALQAC) 2023, which focuses on enhancing legal task performance by integrating…
Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs
Thi-Hai-Yen Vuong, Minh-Quan Hoang, Tan-Minh Nguyen +2
This paper presents a knowledge graph construction method for legal case documents and related laws, aiming to organize legal information efficiently and enhance various downstream…
NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment
Hai-Long Nguyen, Dieu-Quynh Nguyen, Hoang-Trung Nguyen +5
In recent years, natural language processing has gained significant popularity in various sectors, including the legal domain. This paper presents NeCo Team's solutions to the Viet…
NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing
Thi-Hai-Yen Vuong, Hai-Long Nguyen, Tan-Minh Nguyen +3
This paper presents the NOWJ team's approach to the COLIEE 2023 Competition, which focuses on advancing legal information processing techniques and applying them to real-world lega…