35 citations · 62 across the 16 of their papers we have counts for
17 papers
ViLegalExpert: A Large-Scale Benchmark for Vietnamese Legal Retrieval and Question Answering from Real-World Consultations
Dat Tien Nguyen, Nghia Hieu Nguyen, Anh Thi-Hoang Nguyen +3
Trustworthy Legal AI requires systems that can answer legal questions while grounding their responses in authoritative sources. However, existing Vietnamese legal benchmarks provid…
Beyond Atomic Tokens: Factorizing Syllables for Language Model Pretraining
Nghia Hieu Nguyen, Thai Bao Huynh, Binh-An Dinh-Le +4
Conventional tokenizers represent text as characters or statistically derived subwords, overlooking the internal phonological structure of syllables and often requiring large vocab…
Direct Image-to-Modern Vietnamese Translation of Han-Nom Manuscripts via Multimodal RLHF Preference Alignment
Thi Kim Trang Vo, Nghia Hieu Nguyen, Ha Minh Tan
Translating Han-Nom manuscripts into modern Vietnamese is challenging because historical pages are often degraded, the script contains rare logographic characters, and parallel sup…
Beyond Phones: Structured Phonemic Modeling for Vietnamese Automatic Speech Recognition
Nghia Hieu Nguyen, Quan Ngoc Hoang, Long Hoang Huu Nguyen +2
Phone-based representations provide a compact and acoustically grounded alternative to conventional orthographic modeling for automatic speech recognition (ASR). However, phones de…
Phonetic Modeling of Dialectal Variation in Vietnamese Speech
Quan Ngoc Hoang, Long Hoang Huu Nguyen, Nghia Hieu Nguyen +2
Vietnamese exhibits substantial dialectal phonetic variation across Northern, Central, and Southern regions, where identical lexical items may be realized with markedly different p…
Linguistically Informed Multimodal Fusion for Vietnamese Scene-Text Image Captioning: Dataset, Graph Framework, and Phonological Attention
Nhi Ngoc-Yen Nguyen, Anh-Duc Nguyen, Nghia Hieu Nguyen +2
Scene-text image captioning requires fusing three information streams -- visual features, OCR-detected text, and linguistic knowledge -- to generate descriptions that faithfully in…
ViMultiChoice: Toward a Method That Gives Explanation for Multiple-Choice Reading Comprehension in Vietnamese
Trung Tien Cao, Lam Minh Thai, Nghia Hieu Nguyen +2
Multiple-choice Reading Comprehension (MCRC) models aim to select the correct answer from a set of candidate options for a given question. However, they typically lack the ability…
ViSpeechFormer: A Phonemic Approach for Vietnamese Automatic Speech Recognition
Khoa Anh Nguyen, Long Minh Hoang, Nghia Hieu Nguyen +2
Vietnamese has a phonetic orthography, where each grapheme corresponds to at most one phoneme and vice versa. Exploiting this high grapheme-phoneme transparency, we propose ViSpeec…
LiGT: Layout-infused Generative Transformer for Visual Question Answering on Vietnamese Receipts
Thanh-Phong Le, Trung Le Chi Phan, Nghia Hieu Nguyen +1
Document Visual Question Answering (Document VQA) challenges multimodal systems to holistically handle textual, layout, and visual modalities to provide appropriate answers. Docume…
ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question Answering
Nghia Hieu Nguyen, Tho Thanh Quan, Ngan Luu-Thuy Nguyen
Text-based VQA is a challenging task that requires machines to use scene texts in given images to yield the most appropriate answer for the given question. The main challenge of te…
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…
ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images
Quan Van Nguyen, Dan Quang Tran, Huy Quang Pham +4
Visual Question Answering (VQA) is a challenging task that requires the joint understanding of natural language and visual content. While early research primarily focused on recogn…
PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese
Nghia Hieu Nguyen, Kiet Van Nguyen
We present in this paper a novel scheme for multimodal learning named the Parallel Attention mechanism. In addition, to take into account the advantages of grammar and context in V…
UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese
Doanh C. Bui, Nghia Hieu Nguyen, Khang Nguyen
Image Captioning is one of the vision-language tasks that still interest the research community worldwide in the 2020s. MS-COCO Caption benchmark is commonly used to evaluate the p…
OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese
Nghia Hieu Nguyen, Duong T. D. Vo, Kiet Van Nguyen +1
In recent years, visual question answering (VQA) has attracted attention from the research community because of its highly potential applications (such as virtual assistance on int…
EVJVQA Challenge: Multilingual Visual Question Answering
Ngan Luu-Thuy Nguyen, Nghia Hieu Nguyen, Duong T. D Vo +2
Visual Question Answering (VQA) is a challenging task of natural language processing (NLP) and computer vision (CV), attracting significant attention from researchers. English is a…
VieCap4H-VLSP 2021: ObjectAoA-Enhancing performance of Object Relation Transformer with Attention on Attention for Vietnamese image captioning
Nghia Hieu Nguyen, Duong T. D. Vo, Minh-Quan Ha
Image captioning is currently a challenging task that requires the ability to both understand visual information and use human language to describe this visual information in the i…