activity
20232026
most citedLARP: Language-Agent Role Play for Open-World Games

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

SPRITE: From Static Mockups to Engine-Ready Game UI

Yunshu Bai, RuiHao Li, Hao Zhang +3

Game UI implementation requires translating stylized mockups into interactive engine entities. However, current "Screenshot-to-Code" tools often struggle with the irregular geometr…

cs.AI2025

Zero-shot 3D Map Generation with LLM Agents: A Dual-Agent Architecture for Procedural Content Generation

Lim Chien Her, Ming Yan, Yunshu Bai +2

Procedural Content Generation (PCG) offers scalable methods for algorithmically creating complex, customizable worlds. However, controlling these pipelines requires the precise con…

cs.LG2025

World Model Robustness via Surprise Recognition

Geigh Zollicoffer, Tanush Chopra, Mingkuan Yan +3

AI systems deployed in the real world must contend with distractions and out-of-distribution (OOD) noise that can destabilize their policies and lead to unsafe behavior. While robu…

cs.SE2025

Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation

Qingsong He, Jing Nan, Jiayu Jiao +5

Large Language Models can break through knowledge and timeliness limitations by invoking external tools within the Model Context Protocol framework to achieve automated execution o…

cs.CV2024

VideoGUI: A Benchmark for GUI Automation from Instructional Videos

Kevin Qinghong Lin, Linjie Li, Difei Gao +5

Graphical User Interface (GUI) automation holds significant promise for enhancing human productivity by assisting with computer tasks. Existing task formulations primarily focus on…

cs.AI2023★ 1 cited

LARP: Language-Agent Role Play for Open-World Games

Ming Yan, Ruihao Li, Hao Zhang +3

Language agents have shown impressive problem-solving skills within defined settings and brief timelines. Yet, with the ever-evolving complexities of open-world simulations, there'…