Preprint Open access
SoK: Are LLMs Reliable at Source Code Recovery? A Taxonomy and Empirical Evaluation
Effective source recovery is critical to security applications such as malware analysis, vulnerability assessment, and legacy maintenance. Large Language Models (LLMs) are reshaping this field, shifting the paradigm away from rule-based heuristics to probabilistic and high fidelity semantic recovery of source code from …