Large Language Models (LLMs) pre-trained on expansive text and code corpora have revealed promising code generation abilities and have attracted increasing attention in code translation. In this work, we investigate the effectiveness of LLMs in code translation and translation error repair. First, we present CodeTransB...
Vera Kowalczuk, Oliver Weissl, Severin Kacianka et al.· 1 citation
Evidence is provided that explanation-guided metamorphic testing is an effective and practical approach for empirically evaluating the robustness of task-specialized language models used in vertical AI applications.
Xingcheng Chen, Mehmet Besenk, Andrea Stocco· 0 citations
GATAS, a black-box testing approach that generates failure inducing inputs by operating in the phoneme-level latent space of a text- to-speech model, demonstrates that untargeted latent-space optimization enables the efficient generation of realistic and effective test cases for ASR systems.
Yanis Xabier Wilbrand Peña, Oliver Weissl, Andrea Stocco· arXiv.org· 0 citations
Autonomous driving research has largely focused on safety while giving limited attention to non-functional aspects such as energy consumption and sustainability. As Autonomous Electric Vehicles (AEVs) become increasingly common in urban traffic, understanding how complex traffic dynamics influence their energy consumpt...
