3 papers
cs.SE2026
Foundation Models as Oracles for Refactoring Correctness Detection
Rohit Gheyi, Rian Melo, Jonhnanthan Oliveira +2
Refactoring tools in popular Integrated Development Environments (IDEs) can introduce unintended behavioral changes or compilation errors, a persistent challenge that undermines de…
cs.SE2026
Vulnerability Detection with Interprocedural Context in Multiple Languages: Assessing Effectiveness and Cost of Modern LLMs
Kevin Lira, Baldoino Fonseca, Davy BaÃa +2
Large Language Models (LLMs) have been a promising way for automated vulnerability detection. However, most prior studies have explored the use of LLMs to detect vulnerabilities on…
cs.CV2025
Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions
Itallo Patrick Castro Alves Da Silva, Emanuel Adler Medeiros Pereira, Erick de Andrade Barboza +2
Compressed deep learning models are crucial for deploying computer vision systems on resource-constrained devices. However, model compression may affect robustness, especially unde…