9 papers
Rushes: A Human Preference Dataset for Pluralistic Alignment
Michael Xu, Jorge Leandro, Sudha Rao +5
We introduce Rushes, a dataset and benchmark for studying revealed human engagement preferences in interactive narrative environments. Rushes is collected through a game interface…
MineNPC-Task: Task Suite for Memory-Aware Minecraft Agents
Tamil Sudaravan Mohan Doss, Michael Xu, Sudha Rao +2
We present MineNPC-Task, a user-authored benchmark and evaluation harness for testing memory-aware, mixed-initiative LLM agents in open-world Minecraft. Rather than relying on synt…
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…
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…
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…
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…