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.CV2026
Beyond Vision: Contextually Enriched Image Captioning with Multi-Modal Retrieval
Nguyen Lam Phu Quy, Pham Phu Hoa, Tran Chi Nguyen +3
Real-world image captions often lack contextual depth, omitting crucial details such as event background, temporal cues, outcomes, and named entities that are not visually discerni…
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…