Author

Atay Özgövde

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#artificial intelligence Review Dec 2025

Instruction-Tuning Open-Weight Language Models for BPMN Model Generation

InstruBPM is introduced, a reproducible approach that prepares paired text-diagram data and instruction tunes an open source large language model with parameter-efficient fine-tuning and quantization for on-prem deployment and improves structural accuracy and robustness compared to untuned baselines and reduces relianc...

Gökberk Çelikmasat, Atay Özgövde, F. Aydemir · arXiv.org · 1 citation

#machine learning Open access Dec 2025

UBCL: A Reinforcement Learning Framework for Controllable and Diverse Player Behaviors

A reinforcement learning framework that enables controllable and diverse player behaviors without relying on human gameplay data and offers a scalable solution for automated playtesting, game balancing, human-like behavior simulation, and replacing disconnected players in online games.

Atahan Cilan, Atay Özgövde · IEEE Transactions on Games · 1 citation