Qualitative thematic analysis of the Adventure AI podcast identifies roles, successes, failures, and person-like treatment of AI in tabletop RPGs, providing a basis for appropriate AI integration in gaming.
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3 Pith papers cite this work, alongside 73 external citations. Polarity classification is still indexing.
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Pith papers citing it
73
external citations · external index
years
2026 3representative citing papers
Proof-of-concept shows fine-tuned small language models achieve adequate quality for real-time game content generation in a scoped RPG loop via retry-until-success and LLM-as-judge evaluation.
An AutoML pipeline using SPECTER embeddings, meta-learning clustering, successive-halving topic modeling, and ARIMA/Prophet/LSTM forecasting is applied to abstracts to predict topic trends in wireless networks, reporting RMSE 36.76.
citing papers explorer
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Co-Creativity at the Table: A Qualitative Analysis of Creative Interactions in the Podcast "Adventure AI"
Qualitative thematic analysis of the Adventure AI podcast identifies roles, successes, failures, and person-like treatment of AI in tabletop RPGs, providing a basis for appropriate AI integration in gaming.
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High-quality generation of dynamic game content via small language models: A proof of concept
Proof-of-concept shows fine-tuned small language models achieve adequate quality for real-time game content generation in a scoped RPG loop via retry-until-success and LLM-as-judge evaluation.
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Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework
An AutoML pipeline using SPECTER embeddings, meta-learning clustering, successive-halving topic modeling, and ARIMA/Prophet/LSTM forecasting is applied to abstracts to predict topic trends in wireless networks, reporting RMSE 36.76.