1 citations · 3 across the 4 of their papers we have counts for
7 papers
Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering
Tam Minh Vo, Khiem Vinh Tran
Recent studies have provided empirical evidence of the wide-ranging potential of Generative Pre-trained Transformer (GPT), a pretrained language model, in the field of natural lang…
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese
Khiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen +1
In recent years, Visual Question Answering (VQA) has gained significant attention for its diverse applications, including intelligent car assistance, aiding visually impaired indiv…
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering
Khiem Vinh Tran, Kiet Van Nguyen, Ngan Luu Thuy Nguyen
Visual Question Answering (VQA) is an intricate and demanding task that integrates natural language processing (NLP) and computer vision (CV), capturing the interest of researchers…
A Comparative Study of Question Answering over Knowledge Bases
Khiem Vinh Tran, Hao Phu Phan, Khang Nguyen Duc Quach +3
Question answering over knowledge bases (KBQA) has become a popular approach to help users extract information from knowledge bases. Although several systems exist, choosing one su…
Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
Son T. Luu, Mao Nguyen Bui, Loi Duc Nguyen +3
Machine reading comprehension (MRC) is a sub-field in natural language processing that aims to assist computers understand unstructured texts and then answer questions related to t…
UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network
Khiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen +1
Recently, COVID-19 has affected a variety of real-life aspects of the world and led to dreadful consequences. More and more tweets about COVID-19 has been shared publicly on Twitte…