IEEE

PNMLR: Enhancing Route Recommendations With Personalized Preferences Using Graph Attention Networks

Abstract: In the modern landscape, millions of users rely on mapping services daily to plan trips of various kinds. While these services traditionally focus on providing the shortest routes, ...
GitHub

WorldVLA: Towards Autoregressive Action World Model

WorldVLA is an autoregressive action world model that unifies action and image understanding and generation. WorldVLA intergrates Vision-Language-Action (VLA) model (action model) and world model in ...
IEEE

ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction

Abstract: Traffic prediction is a crucial component of data management systems, leveraging historical data to learn spatio-temporal dynamics for forecasting future traffic and enabling efficient ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...