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20232025
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cs.CL20257 cited

Echoes in AI: Quantifying lack of plot diversity in LLM outputs

Weijia Xu, Nebojsa Jojic, Sudha Rao +2

With rapid advances in large language models (LLMs), there has been an increasing application of LLMs in creative content ideation and generation. A critical question emerges: can…

cs.CL2024

MCPDial: A Minecraft Persona-driven Dialogue Dataset

Seyed Hossein Alavi, Sudha Rao, Ashutosh Adhikari +7

We propose a novel approach that uses large language models (LLMs) to generate persona-driven conversations between Players and Non-Player Characters (NPC) in games. Showcasing the…

cs.CL2024

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft

Sudha Rao, Weijia Xu, Michael Xu +5

The use of generative AI in video game development is on the rise, and as the conversational and other capabilities of large language models continue to improve, we expect LLM-driv…

cs.CL20243 cited

Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs

Claire Jin, Sudha Rao, Xiangyu Peng +4

Advancements in large language models (LLMs) are revolutionizing interactive game design, enabling dynamic plotlines and interactions between players and non-player characters (NPC…

cs.CL2024

Player-Driven Emergence in LLM-Driven Game Narrative

Xiangyu Peng, Jessica Quaye, Sudha Rao +10

We explore how interaction with large language models (LLMs) can give rise to emergent behaviors, empowering players to participate in the evolution of game narratives. Our testbed…

cs.CL2023

GENEVA: GENErating and Visualizing branching narratives using LLMs

Jorge Leandro, Sudha Rao, Michael Xu +4

Dialogue-based Role Playing Games (RPGs) require powerful storytelling. The narratives of these may take years to write and typically involve a large creative team. In this work, w…