2 citations · 2 across the 3 of their papers we have counts for
4 papers
Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval
Hai-Long Nguyen, Tan-Minh Nguyen, Duc-Minh Nguyen +3
Statutory law retrieval is a typical problem in legal language processing, that has various practical applications in law engineering. Modern deep learning-based retrieval methods…
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…
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…