Reasoning-tuned LLMs align with human comprehension failure patterns under code obfuscation using the Block Model, unlike instruction-tuned variants.
Surv.49(1) (apr 2016)
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Full instantiation of a statistical effort modeling method for game resource localisation attacks on two use cases, confirming feasibility for MATE attack analysis.
citing papers explorer
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Do Machines Struggle Where Humans Do? LLM and Human Comprehension of Obfuscated Code
Reasoning-tuned LLMs align with human comprehension failure patterns under code obfuscation using the Block Model, unlike instruction-tuned variants.
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Statistical Effort Modelling of Game Resource Localisation Attacks
Full instantiation of a statistical effort modeling method for game resource localisation attacks on two use cases, confirming feasibility for MATE attack analysis.