Cover Image

Coding Agent Is Good As World Simulator

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Hongyu, Wang, Jingquan, Zou, Bocheng, Serban, Radu, Negrut, Dan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ChronoLLM: Customizing Language Models for Physics-Based Simulation Code Generation
by: Wang, Jingquan, et al.
Published: (2025)

SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation
by: Wang, Jingquan, et al.
Published: (2024)

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono
by: Wang, Jingquan, et al.
Published: (2025)

ChronoDreamer: Action-Conditioned World Model as an Online Simulator for Robotic Planning
by: Zhou, Zhenhao, et al.
Published: (2025)

Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework
by: Zou, Bocheng, et al.
Published: (2026)

FNODE: Flow-Matching for data-driven simulation of constrained multibody systems
by: Wang, Hongyu, et al.
Published: (2025)

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)

Co-Design of Rover Wheels and Control using Bayesian Optimization and Rover-Terrain Simulations
by: Unjhawala, Huzaifa Mustafa, et al.
Published: (2026)

MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
by: Wang, Wenhao, et al.
Published: (2026)

A Library of Lower Fidelity Dynamics Models (LFDMs) For On-Road Vehicle Dynamics Targeting Faster Than Real-Time Applications
by: Unjhawala, Huzaifa Mustafa, et al.
Published: (2024)

Learning Transformer-based World Models with Contrastive Predictive Coding
by: Burchi, Maxime, et al.
Published: (2025)

AgriWorld:A World Tools Protocol Framework for Verifiable Agricultural Reasoning with Code-Executing LLM Agents
by: Zhang, Zhixing, et al.
Published: (2026)

GTM: Simulating the World of Tools for AI Agents
by: Ren, Zhenzhen, et al.
Published: (2025)

TextQuests: How Good are LLMs at Text-Based Video Games?
by: Phan, Long, et al.
Published: (2025)

Prompt Stability in Code LLMs: Measuring Sensitivity across Emotion- and Personality-Driven Variations
by: Ma, Wei, et al.
Published: (2025)

Deep Contrastive Graph Learning with Clustering-Oriented Guidance
by: Chen, Mulin, et al.
Published: (2024)

SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds
by: Ren, Jiawei, et al.
Published: (2025)

R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
by: Chen, Yongchao, et al.
Published: (2025)

A Physics-Based Continuum Model for Versatile, Scalable, and Fast Terramechanics Simulation
by: Unjhawala, Huzaifa, et al.
Published: (2025)

Executable World Models for ARC-AGI-3 in the Era of Coding Agents
by: Rodionov, Sergey
Published: (2026)

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
by: Kang, Haoqiang, et al.
Published: (2026)

Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
by: Wang, Xiaoqing, et al.
Published: (2025)

Simulating Rumor Spreading in Social Networks using LLM Agents
by: Hu, Tianrui, et al.
Published: (2025)

OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling
by: Chen, Hongyu, et al.
Published: (2026)

TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
by: Chu, Zhaoyang, et al.
Published: (2026)

PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corrective Multi-Agent Refinement
by: Xie, Tianyidan, et al.
Published: (2026)

GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging
by: Ni, Ziyi, et al.
Published: (2025)

Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
by: Hu, Mengkang, et al.
Published: (2025)

WebWorld: A Large-Scale World Model for Web Agent Training
by: Xiao, Zikai, et al.
Published: (2026)

Embodied AI Agents: Modeling the World
by: Fung, Pascale, et al.
Published: (2025)

Uncovering Zero-Shot Generalization Gaps in Time-Series Foundation Models Using Real-World Videos
by: Li, Lujun, et al.
Published: (2025)

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
by: Wong, Sherman, et al.
Published: (2025)

Towards Learnable Anchor for Deep Multi-View Clustering
by: Wang, Bocheng, et al.
Published: (2025)

IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment
by: Wu, Dekun, et al.
Published: (2025)

RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation
by: Wang, Yanli, et al.
Published: (2024)

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents
by: Liu, Youwei, et al.
Published: (2026)

SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories
by: Shen, Chihao, et al.
Published: (2025)

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects
by: Wang, Puyi, et al.
Published: (2026)

MuDreamer: Learning Predictive World Models without Reconstruction
by: Burchi, Maxime, et al.
Published: (2024)

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
by: Harry Zhang, et al.
Published: (2026)