7 papers
AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
Bao-Phong Nguyen, Gia-Khanh Pham, Thai-Duong Do +7
The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS). However, designing effective data pr…
HERMES: Contrast-Aware Knowledge Graph Reasoning from Clinical Notes for Patient Outcome Prediction
Gia-Bach Nguyen, Hoang-Ha Nguyen, Tuan-Cuong Vuong +5
Clinical predictive models often rely on structured Electronic Health Record data, such as time-series and procedure codes. While recent approaches have begun leveraging unstructur…
CrossSpine: Multi-scale Cross-sequence Attention with Anatomical Priors for Automated Pfirrmann Grading
Hai Son Nguyen, Duong Ngoc Vu, Trong-Nghia Nguyen +5
Automated grading of Lumbar Disc Degeneration is essential for the objective quantification of structural changes associated with low back pain. Observing that baseline models unde…
PhenSPINE: A Standardized Benchmark for Spine Pathology Diagnosis
Duong Ngoc Vu, Hai Son Nguyen, Trong-Nghia Nguyen +4
The accurate diagnosis of spinal pathologies depends heavily on radiological interpretation, yet automated systems are hindered by the lack of diverse, high-quality benchmarks. In…
Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
Huu Tuong Tu, Hanh Nguyen, Thien Van Luong +3
Mispronunciation Detection and Diagnosis (MDD) has gained increasing importance in computer-assisted language learning and speech technology in recent years. In this paper, we prop…
EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection
Hung Mai, Loi Dinh, Duc Hai Nguyen +6
Recent advances in foundation video generators such as Sora2, Veo3, and other commercial systems have produced highly realistic synthetic videos, exposing the limitations of existi…
MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models
Tung Duong Ta, Tim Oates, Thien Van Luong +2
Despite advances in mathematical reasoning capabilities, Large Language Models (LLMs) still struggle with calculation verification when using established prompting techniques. We p…