Research Areas
Vi Natural Language Processing
Research focused on Vietnamese natural language processing tasks, including text classification, sentiment analysis, and question answering.
- ViVQA
Vi Large Language Models
Development and fine-tuning of large language models specifically for the Vietnamese language, aiming to improve performance on various NLP benchmarks.
- ViLLM
Vi Speech and Audio Processing
Investigation into speech recognition, synthesis, and audio processing techniques tailored for Vietnamese, enhancing voice-based applications.
- ViSAP
Vi Agents and Applications
Exploration of intelligent agents and their applications in Vietnamese contexts, including chatbots, virtual assistants, and automated customer service solutions.
- ViAA
Our Team
Publications
Heterogeneous Transfer Learning Using Pre-trained Feature Mapping and Exchange
Nguyen Thuan Duong, Dinh Thang Duong, Hong Phuc Nguyen, Quang Vinh Dinh
AICI 2024 (2024)
This paper introduces novel methods for addressing transfer learning across different model architectures.
Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations
khoi_anh_nguyen, linh_yen_vu, thang_dinh_duong, thuan_nguyen_duong, huy_thanh_nguyen, vinh_quang_dinh
AAAI Workshop 2025 (2024)
We propose a Vietnamese VQA framework combining paraphrase-based augmentation and dynamic curriculum learning to enhance model generalization and performance in low-resource settings.
An Automate Pipeline for Contructing a Vietnamese VQA-NLE Dataset
Duong Truong Binh, Duong Dinh Thang
ICISN 2025 (2025)
ViVQA-X is a Vietnamese adaptation of the VQA-X dataset for VQA-NLE tasks, featuring translated and quality-evaluated question–answer–explanation pairs aligned with COCO images.
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