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Author

Varun Kohli

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2 papers indexed here

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Review Oct 2026

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...

Varun Kohli, Bing-Cheng Lee, Nur Hazim Ghazali et al. · 0 citations
Preprint Aug 2026

CHISEL-ing Back Source Code with AI-enabled Iterative Recovery

This work presents CHISEL, a test suite-free framework to iteratively recover source code from Ghidra-derived pseudo-C, and systematically evaluates CHISEL for compilation and semantic recovery, feedback oracle soundness, and iteration overhead on 120 ExeBench functions compiled for the x86-64 architecture.

Varun Kohli, N. Raghava, B. Sikdar et al. · 2 citations

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