3 papers
cs.LG2026
When does a spectral prior help graph learning? Connectivity-loss estimation under road-network disruptions
Van-Truong Le
Rapid evaluation of many simultaneous road-link disruptions requires a practical compromise between exact spectral recomputation and local approximation. We estimate relative algeb…
cs.CL2026
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text
Van-Truong Le
The complexity of Vietnam's legal texts presents a significant barrier to public access to justice. While Large Language Models offer a promising solution for legal text simplifica…
cs.CV2026
A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection
Van-Truong Le, Le-Khanh Nguyen, Trong-Doanh Nguyen
Academic integrity continues to face the persistent challenge of examination cheating. Traditional invigilation relies on human observation, which is inefficient, costly, and prone…