16 citations · 44 across the 8 of their papers we have counts for
8 papers
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van +3
Cross-lingual topic modeling aims to discover shared semantic structures across languages, yet existing models depend on sparse bilingual resources and often yield incoherent or we…
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study
Zooey Nguyen, Anthony Annunziata, Vinh Luong +7
This paper investigates the impact of domain-specific model fine-tuning and of reasoning mechanisms on the performance of question-answering (Q&A) systems powered by large language…
Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models
Nguyen Quang Duc, Le Hai Son, Nguyen Duc Nhan +3
This paper presents our contributions towards advancing the state of Vietnamese language understanding and generation through the development and dissemination of open datasets and…
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation
Nguyen Hoang Thuan, Nguyen Thi Oanh, Nguyen Thi Thuy +2
Automatic and accurate segmentation of colon polyps is essential for early diagnosis of colorectal cancer. Advanced deep learning models have shown promising results in polyp segme…
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis
Pham Vu Hung, Nguyen Duy Manh, Nguyen Thi Oanh +2
Gastrointestinal endoscopy is a medical procedure that utilizes a flexible tube equipped with a camera and other instruments to examine the digestive tract. This minimally invasive…
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection
Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang +4
Automatic polyp segmentation has proven to be immensely helpful for endoscopy procedures, reducing the missing rate of adenoma detection for endoscopists while increasing efficienc…
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
Dinh Viet Sang, Tran Quang Chung, Phan Ngoc Lan +3
Colorectal cancer is among the most common malignancies and can develop from high-risk colon polyps. Colonoscopy is an effective screening tool to detect and remove polyps, especia…
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets
In Seop Na, Chung Tran, Dung Nguyen +1
Pose-invariant face recognition refers to the problem of identifying or verifying a person by analyzing face images captured from different poses. This problem is challenging due t…