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…