Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Nguyen Minh Le"'
Autor:
Miyanishi, Yosuke, Nguyen, Minh Le
The rapid growth of Large Language Models (LLMs) usage has highlighted the importance of gradient-free in-context learning (ICL). However, interpreting their inner workings remains challenging. This paper introduces a novel multimodal contrastive in-
Externí odkaz:
http://arxiv.org/abs/2408.12959
Autor:
Wang, Yao, Liu, Xin, Kong, Weikun, Yu, Hai-Tao, Racharak, Teeradaj, Kim, Kyoung-Sook, Nguyen, Minh Le
Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks in the field of Information Extraction. Despite the successes achieved by the traditional approaches, fundamental research questions remain open. First, most re
Externí odkaz:
http://arxiv.org/abs/2405.08311
We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we exp
Externí odkaz:
http://arxiv.org/abs/2309.08187
Autor:
Miyanishi, Yosuke, Nguyen, Minh Le
Amidst the rapid expansion of Machine Learning (ML) and Large Language Models (LLMs), understanding the semantics within their mechanisms is vital. Causal analyses define semantics, while gradient-based methods are essential to eXplainable AI (XAI),
Externí odkaz:
http://arxiv.org/abs/2308.11585
We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022). In this competition, we achieve
Externí odkaz:
http://arxiv.org/abs/2211.02200
Autor:
Nguyen, Ha-Thanh, Nguyen, Phuong Minh, Vuong, Thi-Hai-Yen, Bui, Quan Minh, Nguyen, Chau Minh, Dang, Binh Tran, Tran, Vu, Nguyen, Minh Le, Satoh, Ken
COLIEE is an annual competition in automatic computerized legal text processing. Automatic legal document processing is an ambitious goal, and the structure and semantics of the law are often far more complex than everyday language. In this article,
Externí odkaz:
http://arxiv.org/abs/2106.13405
Autor:
Nguyen, Ha-Thanh, Tran, Vu, Nguyen, Phuong Minh, Vuong, Thi-Hai-Yen, Bui, Quan Minh, Nguyen, Chau Minh, Dang, Binh Tran, Nguyen, Minh Le, Satoh, Ken
Ambiguity is a characteristic of natural language, which makes expression ideas flexible. However, in a domain that requires accurate statements, it becomes a barrier. Specifically, a single word can have many meanings and multiple words can have the
Externí odkaz:
http://arxiv.org/abs/2106.13403
Publikováno v:
In Energy Storage Materials February 2024 65
Autor:
Nguyen, Ha-Thanh, Vuong, Hai-Yen Thi, Nguyen, Phuong Minh, Dang, Binh Tran, Bui, Quan Minh, Vu, Sinh Trong, Nguyen, Chau Minh, Tran, Vu, Satoh, Ken, Nguyen, Minh Le
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020. These systems are all characterized by being pre-trained on large amounts of data before being finetuned for the specified ta
Externí odkaz:
http://arxiv.org/abs/2011.08071
We present our method for tackling the legal case retrieval task of the Competition on Legal Information Extraction/Entailment 2019. Our approach is based on the idea that summarization is important for retrieval. On one hand, we adopt a summarizatio
Externí odkaz:
http://arxiv.org/abs/2009.14083