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Context-aware distillation not only boosts the size of the PolkitBench corpus but also proves that structured context is crucial for maintaining model performance under challenging conditions.
Generalizing HIDS across different CVEs within the same CWE class is possible, but only for certain weakness families, revealing critical limitations in current detection methodologies.
Injecting structured context into prompts can elevate DSL code generation quality to unprecedented levels, achieving near-perfect syntactic validity.