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

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2026

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…

cs.CL2025★ 7 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

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…

cs.CL2023★ 2 cited

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…