22 citations · 85 across the 18 of their papers we have counts for
18 papers
Cross-lingual Functional Vectors for Emotion Detection in Large Language Models
Jieying Xue, Phuong Minh Nguyen, Minh Le Nguyen +1
Function vectors (FVs) have recently emerged as a promising mechanism for steering the behavior of large language models (LLMs) by injecting task-specific latent direction represen…
Revealing Algorithmic Deductive Circuits for Logical Reasoning
Phuong Minh Nguyen, Tien Huu Dang, Naoya Inoue
Recent studies have shown that Large Language Models (LLMs) can achieve strong reasoning performance by incorporating functional symbolic representations that abstractly describe g…
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…
Span Modeling for Idiomaticity and Figurative Language Detection with Span Contrastive Loss
Blake Matheny, Phuong Minh Nguyen, Minh Le Nguyen
The category of figurative language contains many varieties, some of which are non-compositional in nature. This type of phrase or multi-word expression (MWE) includes idioms, whic…
Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention
Nguyen Minh Phuong, Dang Huu Tien, Naoya Inoue
Modern logical reasoning with LLMs primarily relies on employing complex interactive frameworks that decompose the reasoning process into subtasks solved through carefully designed…
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…
Non-Interactive Symbolic-Aided Chain-of-Thought for Logical Reasoning
Phuong Minh Nguyen, Tien Huu Dang, Naoya Inoue
This work introduces Symbolic-Aided Chain-of-Thought (CoT), an improved approach to standard CoT, for logical reasoning in large language models (LLMs). The key idea is to integrat…
Enhancing Entity Aware Machine Translation with Multi-task Learning
An Trieu, Phuong Nguyen, Minh Le Nguyen
Entity-aware machine translation (EAMT) is a complicated task in natural language processing due to not only the shortage of translation data related to the entities needed to tran…
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
Jieying Xue, Phuong Minh Nguyen, Minh Le Nguyen +1
With the rapid advancement of global digitalization, users from different countries increasingly rely on social media for information exchange. In this context, multilingual multi-…
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
Jieying Xue, Minh Phuong Nguyen, Blake Matheny +1
In the Emotion Recognition in Conversation task, recent investigations have utilized attention mechanisms exploring relationships among utterances from intra- and inter-speakers fo…
CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
Chau Nguyen, Phuong Nguyen, Thanh Tran +5
The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts. Processing legal document…
An Effective Method using Phrase Mechanism in Neural Machine Translation
Phuong Minh Nguyen, Le Minh Nguyen
Machine Translation is one of the essential tasks in Natural Language Processing (NLP), which has massive applications in real life as well as contributing to other tasks in the NL…
Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022
Hieu Nguyen Van, Dat Nguyen, Phuong Minh Nguyen +1
We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Questi…
A Summary of the ALQAC 2021 Competition
Nguyen Ha Thanh, Bui Minh Quan, Chau Nguyen +13
We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the s…
Transformer-based Approaches for Legal Text Processing
Ha-Thanh Nguyen, Minh-Phuong Nguyen, Thi-Hai-Yen Vuong +6
In this paper, we introduce our approaches using Transformer-based models for different problems of the COLIEE 2021 automatic legal text processing competition. Automated processin…
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing
Ha-Thanh Nguyen, Vu Tran, Phuong Minh Nguyen +6
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…
JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
Ha-Thanh Nguyen, Phuong Minh Nguyen, Thi-Hai-Yen Vuong +6
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 la…
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
Ha-Thanh Nguyen, Hai-Yen Thi Vuong, Phuong Minh Nguyen +7
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-traine…