SemChunk-C trains lightweight Ettin-based models to detect semantic chunk boundaries and assign functional categories in C-related code, matching larger LLMs on accuracy.
FuncVul: An Effective Function Level Vulnerabil- ity Detection Model using LLM and Code Chunk
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SE 2verdicts
UNVERDICTED 2representative citing papers
LLMs perform well on basic syntactic and semantic bugs in small code but struggle with complex security vulnerabilities and large production codebases.
citing papers explorer
-
SemChunk-C: Semantic Segmentation for C Code
SemChunk-C trains lightweight Ettin-based models to detect semantic chunk boundaries and assign functional categories in C-related code, matching larger LLMs on accuracy.
-
Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++
LLMs perform well on basic syntactic and semantic bugs in small code but struggle with complex security vulnerabilities and large production codebases.