no code implementations • 26 Mar 2024 • Hai-Long Nguyen, Duc-Minh Nguyen, Tan-Minh Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong, Ken Satoh
Large language models with billions of parameters, such as GPT-3. 5, GPT-4, and LLaMA, are increasingly prevalent.
no code implementations • 16 Sep 2023 • Hai-Long Nguyen, Thi-Kieu-Trang Pham, Thai-Son Le, Tan-Minh Nguyen, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen
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 information related to legal contexts, focusing on fake news as potential input for electronic evidence.
no code implementations • 16 Sep 2023 • Tan-Minh Nguyen, Xuan-Hoa Nguyen, Ngoc-Duy Mai, Minh-Quan Hoang, Van-Huan Nguyen, Hoang-Viet Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong
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 classical statistical models and Pre-trained Language Models (PLMs).
no code implementations • 16 Sep 2023 • Thi-Hai-Yen Vuong, Minh-Quan Hoang, Tan-Minh Nguyen, Hoang-Trung Nguyen, Ha-Thanh Nguyen
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 tasks.
no code implementations • 8 Jun 2023 • Thi-Hai-Yen Vuong, Hai-Long Nguyen, Tan-Minh Nguyen, Hoang-Trung Nguyen, Thai-Binh Nguyen, Ha-Thanh Nguyen
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 legal scenarios.
no code implementations • 11 Apr 2023 • Tan-Minh Nguyen, Thai-Binh Nguyen, Hoang-Trung Nguyen, Hai-Long Nguyen, Tam Doan Thanh, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong
Multi-document summarization is challenging because the summaries should not only describe the most important information from all documents but also provide a coherent interpretation of the documents.