From the 2 of 6 linked papers with an AI index.
6 papers
Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation
Hua Yan, Heng Tan, Yingxue Zhang +1
The paper introduces MobCache, a mobility-aware caching framework that stores and reuses latent-space embeddings of LLM reasoning steps to enable efficient large-scale human mobili…
Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance
Hua Yan, Heng Tan, Yu Yang
The paper introduces COMPASS, a method that uses large language models guided by empirical mobility scaling laws to generate individual human mobility trajectories that also match…
Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems
Heng Tan, Hua Yan, Yu Yang
Shared micromobility services such as e-scooters and bikes have become an integral part of urban transportation, yet their efficiency critically depends on effective vehicle rebala…
Large Language Model-Guided Semantic Alignment for Human Activity Recognition
Hua Yan, Heng Tan, Yi Ding +3
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is critical for applications in healthcare, safety, and industrial production. However, variations in…
Small Fleet, Big Impact: Enhancing Shared Micromobility Efficiency through Minimal Autonomous Vehicle Deployment
Heng Tan, Hua Yan, Lucas Yang +1
Shared micromobility systems, such as electric scooters and bikes, have gained widespread popularity as sustainable alternatives to traditional transportation modes. However, these…
LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation
Heng Tan, Hua Yan, Yu Yang
While reinforcement learning (RL) has achieved notable success in various domains, training effective policies for complex tasks remains challenging. Agents often converge to local…