35 citations · 293 across the 59 of their papers we have counts for
65 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…
Slow Decay and Silenced Expression: Iterated Subliminal Trait Transfer in Language-Model Lineages
Ryan Vo, Duc-Vu Nguyen, Matt Kretchmar +1
Language models are increasingly trained on the outputs of other models, forming chains that we call lineages, in which a trait present in one generation can pass to the next. Prio…
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…
ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
Chanh Vo, Son T. Luu, Ngan Luu-Thuy Nguyen
This paper introduces ViTOED, a novel dataset for target-oriented emotion detection in Vietnamese social media texts. The ViTOED comprises 10,985 user comments and 21,244 manually…
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…
ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
High-quality text representations are crucial for natural language understanding (NLU), but low-resource languages like Vietnamese face challenges due to limited annotated data. Wh…
VLSP 2025 MLQA-TSR Challenge: Vietnamese Multimodal Legal Question Answering on Traffic Sign Regulation
Son T. Luu, Trung Vo, Hiep Nguyen +5
This paper presents the VLSP 2025 MLQA-TSR - the multimodal legal question answering on traffic sign regulation shared task at VLSP 2025. VLSP 2025 MLQA-TSR comprises two subtasks:…
Optimizing Legal Document Retrieval in Vietnamese with Semi-Hard Negative Mining
Van-Hoang Le, Duc-Vu Nguyen, Kiet Van Nguyen +1
Large Language Models (LLMs) face significant challenges in specialized domains like law, where precision and domain-specific knowledge are critical. This paper presents a streamli…
Coreference Resolution for Vietnamese Narrative Texts
Hieu-Dai Tran, Duc-Vu Nguyen, Ngan Luu-Thuy Nguyen
Coreference resolution is a vital task in natural language processing (NLP) that involves identifying and linking different expressions in a text that refer to the same entity. Thi…
Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
Dat Van-Thanh Nguyen, Tin Van Huynh, Kiet Van Nguyen +1
Natural Language Inference (NLI) is a task within Natural Language Processing (NLP) that holds value for various AI applications. However, there have been limited studies on Natura…
An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamese
Duc-Vu Nguyen, Thang Chau Phan, Quoc-Nam Nguyen +2
In this paper, we aimed to develop a neural parser for Vietnamese based on simplified Head-Driven Phrase Structure Grammar (HPSG). The existing corpora, VietTreebank and VnDT, had…
A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
Existing Vietnamese Natural Language Inference (NLI) datasets lack adversarial complexity, limiting their ability to evaluate model robustness against challenging linguistic phenom…
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…
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding
Phong Nguyen-Thuan Do, Son Quoc Tran, Phu Gia Hoang +2
The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has fa…
VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
Thinh Phuoc Ngo, Khoa Tran Anh Dang, Son T. Luu +2
This paper presents the development process of a Vietnamese spoken language corpus for machine reading comprehension (MRC) tasks and provides insights into the challenges and oppor…
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese
Khiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen +1
In recent years, Visual Question Answering (VQA) has gained significant attention for its diverse applications, including intelligent car assistance, aiding visually impaired indiv…
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering
Khiem Vinh Tran, Kiet Van Nguyen, Ngan Luu Thuy Nguyen
Visual Question Answering (VQA) is an intricate and demanding task that integrates natural language processing (NLP) and computer vision (CV), capturing the interest of researchers…
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…
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension
Son Quoc Tran, Phong Nguyen-Thuan Do, Kiet Van Nguyen +1
Although the curse of multilinguality significantly restricts the language abilities of multilingual models in monolingual settings, researchers now still have to rely on multiling…
ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text
Son T. Luu, Khoi Trong Hoang, Tuong Quang Pham +2
Machine reading comprehension has been an interesting and challenging task in recent years, with the purpose of extracting useful information from texts. To attain the computer abi…
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…