Cover Image

MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Chonghua, Yuan, Yuan, Ding, Jingtao, Feng, Jie, Meng, Fanjin, Li, Yong
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

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning
by: Meng, Fanjin, et al.
Published: (2025)

Diffusion Transformers as Open-World Spatiotemporal Foundation Models
by: Yuan, Yuan, et al.
Published: (2024)

BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling
by: Gong, Jiahui, et al.
Published: (2025)

UniMove: A Unified Model for Multi-city Human Mobility Prediction
by: Han, Chonghua, et al.
Published: (2025)

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation
by: Meng, Fanjin, et al.
Published: (2026)

Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
by: Feng, Wanjin, et al.
Published: (2025)

Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs
by: Shao, Chenyang, et al.
Published: (2024)

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation
by: Du, Yuwei, et al.
Published: (2025)

Tuning Language Models for Robust Prediction of Diverse User Behaviors
by: Meng, Fanjin, et al.
Published: (2025)

ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
by: Liu, Chang, et al.
Published: (2025)

Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning
by: Yuan, Yuan, et al.
Published: (2025)

Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
by: Zhang, Xinwei, et al.
Published: (2025)

UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
by: Yuan, Yuan, et al.
Published: (2024)

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
by: Sun, Mengyang, et al.
Published: (2025)

A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
by: Han, X. Y., et al.
Published: (2025)

Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
by: Sheng, Zhi, et al.
Published: (2025)

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
by: Feng, Jie, et al.
Published: (2025)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
by: Shi, Xiaoming, et al.
Published: (2024)

Mobile Foundation Model as Firmware
by: Yuan, Jinliang, et al.
Published: (2023)

MobileMoE: Scaling On-Device Mixture of Experts
by: Chen, Yanbei, et al.
Published: (2026)

Small Language Model Makes an Effective Long Text Extractor
by: Chen, Yelin, et al.
Published: (2025)

A Universal Model for Human Mobility Prediction
by: Long, Qingyue, et al.
Published: (2024)

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting
by: Wu, Shunyu, et al.
Published: (2026)

ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
by: Xu, Yuhao, et al.
Published: (2026)

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models
by: Tang, Anke, et al.
Published: (2024)

MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts
by: Jin, Peng, et al.
Published: (2024)

CityGPT: Empowering Urban Spatial Cognition of Large Language Models
by: Feng, Jie, et al.
Published: (2024)

Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)

Towards a Comprehensive Scaling Law of Mixture-of-Experts
by: Zhao, Guoliang, et al.
Published: (2025)

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
by: Li, Chong, et al.
Published: (2025)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
by: Wu, Ziyang, et al.
Published: (2024)

LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing
by: Hao, Jiawei, et al.
Published: (2026)

MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
by: Lin, Xiao, et al.
Published: (2026)

MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation
by: Qi, Xianyang, et al.
Published: (2025)

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
by: Tang, Anke, et al.
Published: (2024)

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
by: Ouyang, Jinhui, et al.
Published: (2024)

Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
by: Yuan, Yike, et al.
Published: (2025)

On the Spatial Structure of Mixture-of-Experts in Transformers
by: Bershatsky, Daniel, et al.
Published: (2025)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
by: Liu, Yilun, et al.
Published: (2024)