Chi-Nguyen Tran

Chi-Nguyen Tran

Robots that see, decide and act. AI R&D Lead at Realtime Robotics, final-year AI student at VNUHCM-US. Looking for PhD positions (Fall 2027).

MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution

MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution
FSE 2026 AIWare Competition Co-first author
MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution
Chi-Nguyen Tran*, Duy-Minh Dao-Sy*, Trung-Kiet Huynh*, Phu-Hoa Pham, Phu-Quy Nguyen-Lam, Vu Nguyen
Winner, FSE-AIWare 2026 Agentic Python Dependency Resolution Competition
An agentic resolver that repairs broken Python environments with a self-evolving memory, a confidence cascade over version candidates, and a build-and-reflect loop.
arXiv ACM DL Code

MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution

Tran, C.-N., Dao-Sy, D.-M., Huynh, T.-K., Pham, P.-H., Nguyen-Lam, P.-Q., Nguyen, V. (2026). MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution. FSE Companion 2026, pp. 1438-1441.