66 citations · 69 across the 8 of their papers we have counts for
9 papers
SeCo-SBIR: Semantically Consistent Prompt Learning for Zero-Shot Sketch-Based Image Retrieval
Long Hoang Dang, Tuan Nguyen Huu, Nguyen Minh Hieu +1
Adapting CLIP for zero-shot sketch-based image retrieval (ZS-SBIR) via prompt learning faces a fundamental tension: the model must bridge the sketch-photo domain gap through task-s…
VIVID: A Culturally Grounded Benchmark Exposing the Figurative Language Gap in Vietnamese NLP
Tu Tran Do, Nhat Ngoc Nguyen, Khanh-Tung Tran +3
We present VIVID (Vietnamese Idioms for Validation and Interpretation Depth), the first systematic benchmark for evaluating culturally grounded figurative language understanding in…
SADL: An Effective In-Context Learning Method for Compositional Visual QA
Long Hoang Dang, Thao Minh Le, Vuong Le +2
Large vision-language models (LVLMs) offer a novel capability for performing in-context learning (ICL) in Visual QA. When prompted with a few demonstrations of image-question-answe…
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation
Nguyen Anh Tu, Hoang Thi Thu Uyen, Tu Minh Phuong +1
Multiple intent detection and slot filling are two fundamental and crucial tasks in spoken language understanding. Motivated by the fact that the two tasks are closely related, joi…
Video Dialog as Conversation about Objects Living in Space-Time
Hoang-Anh Pham, Thao Minh Le, Vuong Le +2
It would be a technological feat to be able to create a system that can hold a meaningful conversation with humans about what they watch. A setup toward that goal is presented as a…
Autoencoding Language Model Based Ensemble Learning for Commonsense Validation and Explanation
Ngo Quang Huy, Tu Minh Phuong, Ngo Xuan Bach
An ultimate goal of artificial intelligence is to build computer systems that can understand human languages. Understanding commonsense knowledge about the world expressed in text…
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining
Nguyen Thi Thanh Thuy, Ngo Xuan Bach, Tu Minh Phuong
Aspect-based opinion mining is the task of identifying sentiment at the aspect level in opinionated text, which consists of two subtasks: aspect category extraction and sentiment p…
Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features
Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong
Text classification is an important field of research from mid 90s up to now. It has many applications, one of them is in Web-based biosurveillance systems which identify and summa…
Natural Language Processing in Biomedicine: A Unified System Architecture Overview
Son Doan, Mike Conway, Tu Minh Phuong +1
In modern electronic medical records (EMR) much of the clinically important data - signs and symptoms, symptom severity, disease status, etc. - are not provided in structured data…