2 papers
cs.CR2026
SecReason: Vulnerability Detection and In-Stream Self-Repair for LLM Code Generation
Ruidong Han, Zhensu Sun, Chengyan Ma +4
Large language models (LLMs) may introduce security vulnerabilities into generated code, which can persist into production when verification focuses on functional correctness. Exis…
cs.LG2026
Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Mohammad A. Farmani, Hoshin V. Gupta, Ali Behrangi +3
Machine learning models can achieve high predictive accuracy in hydrological applications but often lack physical interpretability. The Mass-Conserving Perceptron (MCP) provides a…