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Customizable Procedural Content Generation with LLMs
Anais do XXIV Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames 2025)Introduction: Procedural Content Generation (PCG) faces challenges in creating customizable levels with specific characteristics, such as difficulty patterns and unique layouts. Large Language Models (LLMs) offer a promising solution due to their natural language understanding and generative capabilities.
Marcelo Júnior +2 more
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Innovative Procedural Content Generation (PCG) Using Generative AI
Game design increasingly relies on automation to deliver dynamic, interactive, and immersive player experiences. Procedural Content Generation (PCG), traditionally driven by rule-based systems and stochastic methods, has enabled the scalable creation of game assets and environments with limited human input.Monika Kumari +5 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Procedural Content Generation via Machine Learning
2022Matthew Guzdial +2 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly
Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
exaly