3 papers
cs.SE2026
Code2UML: Agentic LLMs with context engineering for scalable software visualization
Alin-Gabriel VÄduva, Anca-Ioana Andreescu, Simona-Vasilica Oprea +1
Large Language Model (LLM)-based code analysis tools are adopted to automate software documentation tasks. However, the scalability of these approaches to real codebases, where Int…
cs.AI2026
Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction
Alin-Gabriel VÄduva, Simona-Vasilica Oprea, Adela Bâra
The integration of large language models (LLMs) into peer review raises a concern beyond authorship and detection: the potential cascading automation of the entire editorial proces…
cs.AI2026
Measuring the Fragility of Trust: Devising Credibility Index via Explanation Stability (CIES) for Business Decision Support Systems
Alin-Gabriel Vaduva, Simona-Vasilica Oprea, Adela Bara
Explainable Artificial Intelligence (XAI) methods (SHAP, LIME) are increasingly adopted to interpret models in high-stakes businesses. However, the credibility of these explanation…