1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Investigating the Influence of Prompt and Response Languages on LLM Content Generation
Thi Thanh Nhan Nguyen, Mai Khoi Tieu, Michael A. Riegler +2
This study examines how prompt and response language influence the behavior of large language models. Using five models, we evaluated answers to 68 non translation questions across…
cs.LG2025★ 1 cited
Principal Components for Neural Network Initialization
Nhan Phan, Thu Nguyen, Uyen Dang +2
Principal Component Analysis (PCA) is a commonly used tool for dimension reduction and denoising. Therefore, it is also widely used on the data prior to training a neural network.…
cs.LG2023★ 1 cited
Imputation using training labels and classification via label imputation
Thu Nguyen, Tuan L. Vo, Pål Halvorsen +1
Missing data is a common problem in practical data science settings. Various imputation methods have been developed to deal with missing data. However, even though the labels are a…