3 citations · 3 across the 4 of their papers we have counts for
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cs.SE2026
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…
cs.SE2025
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…
cs.SE2014★ 3 cited
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…