3 papers
cs.AI2026
Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models
Arturo Valdivia, Paolo Burelli
The topic of Co-creation, i.e., AI agents interacting with humans to generate outputs (e.g., art), has gained significant attention recently. However, most studies focus on adult-h…
cs.AI2026
High-quality generation of dynamic game content via small language models: A proof of concept
Morten I. K. Munk, Arturo Valdivia, Paolo Burelli
Large language models (LLMs) offer promise for dynamic game content generation, but they face critical barriers, including narrative incoherence and high operational costs. Due to…
cs.AI2025
Evaluating Quality of Gaming Narratives Co-created with AI
Arturo Valdivia, Paolo Burelli
This paper proposes a structured methodology to evaluate AI-generated game narratives, leveraging the Delphi study structure with a panel of narrative design experts. Our approach…