16 citations · 57 across the 27 of their papers we have counts for
9 papers · 1 filter
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…