Potential and Challenges of Large Language Models for Reverse Engineering

Name: Potential and Challenges of Large Language Models for Reverse Engineering
Uploaded: 2026-10-06T04:44:00.056696+00:00
Duration: 277 s
Description: This work systematically reviews 44 research papers and 18 open-source projects applying Large Language Models (LLMs) to reverse engineering. It proposes a five-dimensional taxonomy—covering objective, target, method, evaluation strategy, and data scale—to provide a unified framework for comparing existing LLM applications in the field.

This work systematically reviews 44 research papers and 18 open-source projects applying Large Language Models (LLMs) to reverse engineering. It proposes a five-dimensional taxonomy—covering objective, target, method, evaluation strategy, and data scale—to provide a unified framework for comparing existing LLM applications in the field.

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