16 citations · 57 across the 27 of their papers we have counts for
28 papers
Causal Episodic Memory for Feedback-Driven Agent Repair
Khang Nhat Hoang Vo, Tam Minh Chu, Anh Trac Duc Dinh +2
LLM agents that repair failures often discard successful corrections, forcing later episodes to rediscover similar solutions. We study whether finalized repair outcomes can improve…
Before the Warning Comes Too Late: Incremental Phone-Scam Detection from Speech
Khang Nhat Hoang Vo, Anh Trac Duc Dinh, Tai Tien Ta +1
We study weakly supervised incremental telecom fraud detection from raw telephone audio, where training provides only conversation-level labels and predictions must be updated befo…
Physics-Constrained Soft Actor-Critic for Simulator-in-the-Loop Petroleum Reservoir History Matching
Nam-Phong Huu Nguyen, Duy-Dong Nguyen, Tho Quan
Many scientific calibration problems expose only an expensive executable simulator, making gradients unavailable and large-scale training-data generation impractical. We study petr…
Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts
Tho Tran Huu, Huu-Tuan Nguyen, Thien-Hai Nguyen +4
Sparse Mixture-of-Experts (SMoE) architectures are now widely deployed in state-of-the-art language and vision models, where conditional routing allows scaling to very large networ…
WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization
Phong Nam Huu Nguyen, Khoi M. Le, Cong-Duy T Nguyen +3
Quantization is an effective approach to reduce the memory footprint and inference cost of large language models (LLMs), yet maintaining performance in the ultra-low-bit regime rem…
Transformers Learn Robust In-Context Regression under Distributional Uncertainty
Hoang T. H. Cao, Hai D. V. Trinh, Tho Quan +1
Recent work has shown that Transformers can perform in-context learning for linear regression under restrictive assumptions, including i.i.d. data, Gaussian noise, and Gaussian reg…
ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and System for Vietnamese Healthcare Regulations
Long S. T. Nguyen, Quan M. Bui, Tin T. Ngo +3
Question Answering (QA) over regulatory documents is inherently challenging due to the need for multihop reasoning across legally interdependent texts, a requirement that is partic…
Leveraging Sentence-oriented Augmentation and Transformer-Based Architecture for Vietnamese-Bahnaric Translation
Tan Sang Nguyen, Quoc Nguyen Pham, Tho Quan
The Bahnar people, an ethnic minority in Vietnam with a rich ancestral heritage, possess a language of immense cultural and historical significance. The government places a strong…
Low-Resource Heuristics for Bahnaric Optical Character Recognition Improvement
Phat Tran, Phuoc Pham, Hung Trinh +1
Bahnar, a minority language spoken across Vietnam, Cambodia, and Laos, faces significant preservation challenges due to limited research and data availability. This study addresses…
CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
Huy Le, Phong Nguyen, Hao Do +4
Context: Automated code generation using Foundation Models (FMs) offers promising solutions for enhancing software development efficiency. However, challenges remain in ensuring do…
Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
Duc Minh Ha, Phu Trac Kien, Tho Quan +1
[Background] Large Language Model (LLM)-based multi-agent systems (MAS) are transforming software development by enabling autonomous collaboration. Classical software processes suc…
Formal Reasoning for Intelligent QA Systems: A Case Study in the Educational Domain
Tuan Bui, An Nguyen, Phat Thai +8
Reasoning is essential for closed-domain QA systems in which procedural correctness and policy compliance are critical. While large language models (LLMs) have shown strong perform…
Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025
Long S. T. Nguyen, Khang H. N. Vo, Thu H. A. Nguyen +13
The growing integration of Artificial Intelligence (AI) into education has intensified the need for transparency and interpretability. While hackathons have long served as agile en…
A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
Long S. T. Nguyen, Truong P. Hua, Thanh M. Nguyen +6
With the rapid growth of Artificial Intelligence, Large Language Models (LLMs) have become essential for Question Answering (QA) systems, improving efficiency and reducing human wo…
Speaking in Words, Thinking in Logic: A Dual-Process Framework in QA Systems
Tuan Bui, Trong Le, Phat Thai +5
Recent advances in large language models (LLMs) have significantly enhanced question-answering (QA) capabilities, particularly in open-domain contexts. However, in closed-domain sc…
TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems
Khang H. N. Vo, Duc P. T. Nguyen, Thong Nguyen +1
This paper focuses on multimodal alignment within the realm of Artificial Intelligence, particularly in text and image modalities. The semantic gap between the textual and visual m…
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
Long Nguyen, Huy Nguyen, Bao Khuu +4
Retrieving events from videos using text queries has become increasingly challenging due to the rapid growth of multimedia content. Existing methods for text-based video event retr…
URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT
Long Nguyen, Tho Quan
With the rapid advancement of Artificial Intelligence, particularly in Natural Language Processing, Large Language Models (LLMs) have become pivotal in educational question-answeri…
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…
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
Sang T. Truong, Duc Q. Nguyen, Toan Nguyen +4
Recent advancements in large language models (LLMs) have underscored their importance in the evolution of artificial intelligence. However, despite extensive pretraining on multili…
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
Khoi M. Le, Trinh Pham, Tho Quan +1
Paraphrases are texts that convey the same meaning while using different words or sentence structures. It can be used as an automatic data augmentation tool for many Natural Langua…
Generative Artificial Intelligence for Software Engineering -- A Research Agenda
Anh Nguyen-Duc, Beatriz Cabrero-Daniel, Adam Przybylek +12
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activit…
Enriching and Controlling Global Semantics for Text Summarization
Thong Nguyen, Anh Tuan Luu, Truc Lu +1
Recently, Transformer-based models have been proven effective in the abstractive summarization task by creating fluent and informative summaries. Nevertheless, these models still s…
PageRank algorithm for Directed Hypergraph
Loc Tran, Tho Quan, An Mai
During the last two decades, we easilly see that the World Wide Web's link structure is modeled as the directed graph. In this paper, we will model the World Wide Web's link struct…