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Nijat Mehdiyev

2 papers indexed

arxivcs.AI2026-07-10

Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining

Jan Gronewald, Andreas Emrich, Nijat Mehdiyev

Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in which AI support must serve qualified auditors who remain accountable for the decisions taken. The relevant unit of value is not prediction accuracy alone, but the de…

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arxivcs.CLcs.AIcs.LG2026-07-07

Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design

Alexander Rombach, Chantale Lauer, Nijat Mehdiyev

Large language models (LLMs) can generate BPMN process models from natural-language descriptions, yet supervised fine-tuning (SFT) limits their output quality to the patterns present in the training data. Reinforcement learning (RL) can optimize beyond this ceiling using external…

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