5 citations · 12 across the 13 of their papers we have counts for
13 papers
ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images
Huy Quang Pham, Thang Kien-Bao Nguyen, Quan Van Nguyen +4
Optical Character Recognition - Visual Question Answering (OCR-VQA) is the task of answering text information contained in images that have just been significantly developed in the…
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding
Phong Nguyen-Thuan Do, Son Quoc Tran, Phu Gia Hoang +2
The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has fa…
ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
Thanh-Nhi Nguyen, Thanh-Phong Le, Kiet Van Nguyen
Lexical normalization, a fundamental task in Natural Language Processing (NLP), involves the transformation of words into their canonical forms. This process has been proven to ben…
ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing
Quoc-Nam Nguyen, Thang Chau Phan, Duc-Vu Nguyen +1
English and Chinese, known as resource-rich languages, have witnessed the strong development of transformer-based language models for natural language processing tasks. Although Vi…
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…
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection
Vu Le Anh Quan, Chau Thuan Phat, Kiet Van Nguyen +2
With the advancement of deep learning (DL) in various fields, there are many attempts to reveal software vulnerabilities by data-driven approach. Nonetheless, such existing works l…