3 citations · 3 across the 4 of their papers we have counts for
4 papers
Unlocking LLM Code Correction with Iterative Feedback Loops
Le Zhang, Suresh Kothari
Large Language Models have shown remarkable capabilities in code generation. However, most existing evaluations focus only on single-attempt accuracy and overlook the iterative ref…
Holistic Evaluation of State-of-the-Art LLMs for Code Generation
Le Zhang, Suresh Kothari
This study presents a comprehensive empirical evaluation of six state-of-the-art large language models (LLMs) for code generation, including both general-purpose and code-specializ…
Security Toolbox for Detecting Novel and Sophisticated Android Malware
Benjamin Holland, Tom Deering, Suresh Kothari +2
This paper presents a demo of our Security Toolbox to detect novel malware in Android apps. This Toolbox is developed through our recent research project funded by the DARPA Automa…
Event-Flow Graphs for Efficient Path-Sensitive Analyses
Ahmed Tamrawi, Suresh Kothari
Efficient and accurate path-sensitive analyses pose the challenges of: (a) analyzing an exponentially-increasing number of paths in a control-flow graph (CFG), and (b) checking fea…