activity
20232026
most citedEchoes in AI: Quantifying lack of plot diversity in LLM outputs

7 citations · 12 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers

Seyed Hossein Alavi, Weijia Xu, Nebojsa Jojic +6

We introduce GamePlot, an LLM-powered assistant that supports game designers in crafting immersive narratives for turn-based games, and allows them to test these games through a co…

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.CL2024★ 3 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…