2 papers
cs.SE2026
ImproBR: Bug Report Improver Using LLMs
Emre Furkan Akyol, Mehmet Dedeler, Eray Tüzün
Bug tracking systems play a crucial role in software maintenance, yet developers frequently struggle with low-quality user-submitted reports that omit essential details such as Ste…
cs.SE2026
SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models
Kıvanç Kuzey Dikici, Serdar Kara, Semih Çağlar +2
As Large Language Models (LLMs) for code increasingly utilize massive, often non-permissively licensed datasets, evaluating data contamination through Membership Inference Attacks…