1 citations · 1 across the 12 of their papers we have counts for
15 papers
"Not" is Not Lost in Translation: A Causal Analysis of Negation Representations in Multilingual LLMs
Giang Son Nguyen, Wray Buntine, Dung D. Le +1
Negation occurs in every language, yet its surface realization differs drastically. Despite this, multilingual large language models (LLMs) translate negation robustly, raising the…
Successful but Unsafe: An Analytical Benchmark for Revealing Collisions in Vision-and-Language Navigation
Hieu D. Pham, Quoc-An Luong, Dung D. Le
Vision-and-language navigation (VLN) agents are typically evaluated by whether they reach a target and how efficiently they follow an instructed route, yet these metrics provide li…
WareFly-VLA: A Vision-Language-Action Framework for UAV Navigation and Human Tracking in Smart Warehouses
Thinh D. Le, Son T. Nguyen, Duong Q. Nguyen +3
Vision-Language-Action (VLA) models have achieved impressive results in robotic manipulation and ground-mobile navigation, yet language-conditioned control of unmanned aerial vehic…
Recurrence Is Not Enough: Causally Validating Multilingual SAE Translation Features in Gemma 2 and 3
Giang Son Nguyen, Nhi Ngoc-Yen Nguyen, Wray Buntine +1
Sparse autoencoder (SAE) features are increasingly used to explain and steer language-model behavior, but it remains unclear whether a feature found in one language context plays t…
En-ViMedNER: An English-Vietnamese Parallel Biomedical Corpus with UMLS Semantic Type Annotations
Nhu Vo, Phuong Nguyen, Nu Uyen Phuong Le +4
Biomedical Named Entity Recognition (NER) is fundamental to healthcare AI applications, including clinical decision support and medical information extraction. While corpora with U…
RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis
Minh-Loi Nguyen, Nghiem T. Diep, Nghiem Tuong Diep +19
Robot world models now generate synthetic manipulation videos, but evaluating them is hard: realistic-looking outputs often violate physical laws, temporal consistency or task logi…
Contrastive Training with LLM-generated Near-Misses for Robust Code-Switching Speech Recognition
Tung X. Nguyen, Hieu Minh Truong, Giang Son Nguyen +3
Code-switching (CS), the alternation between multiple languages within a single utterance, remains challenging for Automatic Speech Recognition (ASR). To address this issue, we pro…
Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothing
Duc Minh Nguyen, Bao-Ngoc Dao, Tung M. Luu +15
Diffusion-based Vision-Language-Action (VLA) policies enable strong generalization in robotic manipulation, but remain sensitive to spurious visual correlations and noisy action ge…
PiDA: Phonetically-Informed Data Augmentation for Robust Vietnamese Speech Translation
Giang Son Nguyen, Tung X. Nguyen, Hieu Minh Truong +3
Cascaded speech translation (ST) systems suffer from error propagation when Automatic Speech Recognition (ASR) outputs incorrect transcripts. We present the first systematic catego…
ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark
Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen +6
Code-switching (CS), which is when Vietnamese speech uses English words like drug names or procedures, is a common phenomenon in Vietnamese medical communication. This creates chal…
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP
Chau Truong, Hieu Ta Quang, Dung D. Le
Vision-language models like CLIP show impressive ability to align images and text, but their training on short, concise captions makes them struggle with lengthy, detailed descript…
Multilingual LLM Prompting Strategies for Medical English-Vietnamese Machine Translation
Nhu Vo, Nu-Uyen-Phuong Le, Dung D. Le +2
Medical English-Vietnamese machine translation (En-Vi MT) is essential for healthcare access and communication in Vietnam, yet Vietnamese remains a low-resource and under-studied l…
Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation
Le-Tuan Nguyen, Minh-Duong Nguyen, Seon-Geun Jeong +2
With the rapid emergence of foundation models and the increasing need for fine-tuning across distributed environments, Federated Low-Rank Adaptation (FedLoRA) has recently gained s…
Robustness Evaluation of OCR-based Visual Document Understanding under Multi-Modal Adversarial Attacks
Dong Nguyen Tien, Dung D. Le
Visual Document Understanding (VDU) systems have achieved strong performance in information extraction by integrating textual, layout, and visual signals. However, their robustness…
Improving Vietnamese-English Medical Machine Translation
Nhu Vo, Dat Quoc Nguyen, Dung D. Le +2
Machine translation for Vietnamese-English in the medical domain is still an under-explored research area. In this paper, we introduce MedEV -- a high-quality Vietnamese-English pa…