4 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python
Muntasir Adnan, Manile Srun, Carlos C. N. Kuhn
The original ALPHA benchmark introduced a taxonomy-aware penalty for evaluating CWE-level vulnerability prediction in Python and proposed that the penalty could theoretically also…
A Systematic Investigation of Document Chunking Strategies and Embedding Sensitivity
Muhammad Arslan Shaukat, Muntasir Adnan, Carlos C. N. Kuhn
We present the first large-scale, cross-domain evaluation of document chunking strategies for dense retrieval, addressing a critical but underexplored aspect of retrieval-augmented…
Adaptive Hierarchical Evaluation of LLMs and SAST tools for CWE Prediction in Python
Muntasir Adnan, Carlos C. N. Kuhn
Large Language Models have become integral to software development, yet they frequently generate vulnerable code. Existing code vulnerability detection benchmarks employ binary cla…