3 papers
cs.SE2026
MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution
Dao Sy Duy Minh, Tran Chi Nguyen, Trung Kiet Huynh +3
We present MEMRES, an agentic system for Python dependency resolution that introduces a multi-level confidence cascade where the LLM serves as the last resort. Our system combines:…
cs.SE2026
Early-Stage Prediction of Review Effort in AI-Generated Pull Requests
Dao Sy Duy Minh, Huynh Trung Kiet, Nguyen Lam Phu Quy +4
As AI coding agents evolve from autocomplete tools to autonomous "AI workforce" teammates, they introduce a critical new bottleneck: human maintainers must now manage complex inter…
cs.CV2025
Leveraging Lightweight Entity Extraction for Scalable Event-Based Image Retrieval
Dao Sy Duy Minh, Huynh Trung Kiet, Nguyen Lam Phu Quy +2
Retrieving images from natural language descriptions is a core task at the intersection of computer vision and natural language processing, with wide-ranging applications in search…