Cover Image

A Database-Driven Framework for 3D Level Generation with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Kaijie, Verbrugge, Clark
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High Dimensional Procedural Content Generation
by: Xu, Kaijie, et al.
Published: (2026)

Generic Guard AI in Stealth Game with Composite Potential Fields
by: Xu, Kaijie, et al.
Published: (2025)

(Perlin) Noise as AI coordinator
by: Xu, Kaijie, et al.
Published: (2026)

How Far Can We Go with Pixels Alone? A Pilot Study on Screen-Only Navigation in Commercial 3D ARPGs
by: Xu, Kaijie, et al.
Published: (2026)

CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference
by: Xu, Kaijie, et al.
Published: (2025)

Adaptive Visual Navigation Assistant in 3D RPGs
by: Xu, Kaijie, et al.
Published: (2025)

Deconstructing Open-World Game Mission Design Formula: A Thematic Analysis Using an Action-Block Framework
by: Xu, Kaijie, et al.
Published: (2026)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)

A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Management
by: Xu, Muqing
Published: (2026)

Who is Afraid of Minimal Revision?
by: Baccini, Edoardo, et al.
Published: (2025)

One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level
by: Wang, Hui, et al.
Published: (2025)

AI-Driven Research for Databases
by: Cheng, Audrey, et al.
Published: (2026)

Trustworthy and Efficient LLMs Meet Databases
by: Kim, Kyoungmin, et al.
Published: (2024)

Towards properly implementing Theory of Mind in AI systems: An account of four misconceptions
by: van der Meulen, Ramira, et al.
Published: (2025)

Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL
by: Li, Yue, et al.
Published: (2026)

Lyria: A Genetic Algorithm-Driven Neuro-Symbolic Reasoning Framework for LLMs
by: Tang, Weizhi, et al.
Published: (2025)

MAFIG: Multi-agent Driven Formal Instruction Generation Framework
by: Zhao, Shixing, et al.
Published: (2026)

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
by: Bi, Ziqian, et al.
Published: (2025)

Generating Literature-Driven Scientific Theories at Scale
by: Jansen, Peter, et al.
Published: (2026)

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs
by: Kwok, Tung Sum Thomas, et al.
Published: (2026)

AI-Driven Expansion and Application of the Alexandria Database
by: Cavignac, Théo, et al.
Published: (2025)

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
by: Huang, Wei, et al.
Published: (2025)

Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning
by: Ji, Yiming, et al.
Published: (2024)

3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation
by: Zhang, Frank, et al.
Published: (2024)

HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
by: Vasu, Rosni, et al.
Published: (2025)

Inconsistent Databases and Argumentation Frameworks with Collective Attacks
by: Mahmood, Yasir, et al.
Published: (2026)

S3D: Sketch-Driven 3D Model Generation
by: Song, Hail, et al.
Published: (2025)

CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization
by: Zhao, Yang, et al.
Published: (2024)

NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs
by: Shi, Boshen, et al.
Published: (2026)

Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
by: Lotte, Pierre, et al.
Published: (2026)

A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications
by: Buongiorno, Steph, et al.
Published: (2024)

HLS-Eval: A Benchmark and Framework for Evaluating LLMs on High-Level Synthesis Design Tasks
by: Abi-Karam, Stefan, et al.
Published: (2025)

Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework
by: Wang, Yucheng, et al.
Published: (2025)

ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
by: Wang, Yusong, et al.
Published: (2026)

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation
by: Yan, Lu, et al.
Published: (2025)

Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks
by: Almorsi, Amr, et al.
Published: (2025)

FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
by: Yuan, Ziqiang, et al.
Published: (2024)

Harnessing LLMs for Educational Content-Driven Italian Crossword Generation
by: Zeinalipour, Kamyar, et al.
Published: (2024)

DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection
by: Yan, Yuliang, et al.
Published: (2025)

NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
by: Fei, Weizhi, et al.
Published: (2025)