Imagen de Portada

Instruction-Driven Game Engines on Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Hongqiu, Wang, Yan, Liu, Xingyuan, Zhao, Hai, Zhang, Min
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Instruction-Driven Game Engine: A Poker Case Study
por: Wu, Hongqiu, et al.
Publicado: (2024)

Game Development as Human-LLM Interaction
por: Hong, Jiale, et al.
Publicado: (2024)

BriLLM: Brain-inspired Large Language Model
por: Zhao, Hai, et al.
Publicado: (2025)

Open Role-Playing with Delta-Engines
por: Wu, Hongqiu, et al.
Publicado: (2024)

X-TURING: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents
por: Wu, Weiqi, et al.
Publicado: (2024)

RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
por: Yu, Pengfei, et al.
Publicado: (2025)

Game Generation via Large Language Models
por: Hu, Chengpeng, et al.
Publicado: (2024)

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
por: Hao, Pengfei, et al.
Publicado: (2025)

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
por: Yan, Jianhao, et al.
Publicado: (2024)

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
por: Rao, Jun, et al.
Publicado: (2024)

Semi-Supervised Diseased Detection from Speech Dialogues with Multi-Level Data Modeling
por: Li, Xingyuan, et al.
Publicado: (2026)

LIFEBench: Evaluating Length Instruction Following in Large Language Models
por: Zhang, Wei, et al.
Publicado: (2025)

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning
por: Hao, Pengfei, et al.
Publicado: (2025)

Instruction Tuning for Large Language Models: A Survey
por: Zhang, Shengyu, et al.
Publicado: (2023)

One-Shot Learning as Instruction Data Prospector for Large Language Models
por: Li, Yunshui, et al.
Publicado: (2023)

Automatic Instruction Evolving for Large Language Models
por: Zeng, Weihao, et al.
Publicado: (2024)

Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
por: Li, Junlong, et al.
Publicado: (2022)

Can Large Language Models Play Games? A Case Study of A Self-Play Approach
por: Guo, Hongyi, et al.
Publicado: (2024)

A Text-to-Game Engine for UGC-Based Role-Playing Games
por: Zhang, Lei, et al.
Publicado: (2024)

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models
por: Yin, Qiyue, et al.
Publicado: (2025)

A Survey on Large Language Model-Based Game Agents
por: Hu, Sihao, et al.
Publicado: (2024)

NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
por: Li, Xiaozhe, et al.
Publicado: (2025)

InFoBench: Evaluating Instruction Following Ability in Large Language Models
por: Qin, Yiwei, et al.
Publicado: (2024)

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
por: Sun, Wangtao, et al.
Publicado: (2024)

SPRITE: From Static Mockups to Engine-Ready Game UI
por: Bai, Yunshu, et al.
Publicado: (2026)

FedEAT: A Robustness Optimization Framework for Federated LLMs
por: Pang, Yahao, et al.
Publicado: (2025)

MEGen: Generative Backdoor into Large Language Models via Model Editing
por: Qiu, Jiyang, et al.
Publicado: (2024)

Demystifying Instruction Mixing for Fine-tuning Large Language Models
por: Wang, Renxi, et al.
Publicado: (2023)

Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
por: Moon, Hyeonseok, et al.
Publicado: (2024)

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
por: Dong, Yixin, et al.
Publicado: (2024)

Eliciting Trustworthiness Priors of Large Language Models via Economic Games
por: Yan, Siyu, et al.
Publicado: (2026)

Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
por: Zhang, Chen, et al.
Publicado: (2024)

Enhance Reasoning for Large Language Models in the Game Werewolf
por: Wu, Shuang, et al.
Publicado: (2024)

GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
por: Hou, Shuyang, et al.
Publicado: (2024)

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models
por: Tan, Yingshui, et al.
Publicado: (2025)

LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models
por: Ren, Huimin, et al.
Publicado: (2025)

Are Large Vision Language Models Good Game Players?
por: Wang, Xinyu, et al.
Publicado: (2025)

GVGAI-LLM: Evaluating Large Language Model Agents with Infinite Games
por: Li, Yuchen, et al.
Publicado: (2025)

Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games
por: Fan, Mingyuan, et al.
Publicado: (2026)

Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
por: Zhang, Zhongjian, et al.
Publicado: (2026)