We introduce OneCAT, a unified multimodal model that seamlessly integrates understanding, generation, and editing within a novel, pure decoder-only transformer architecture. Our framework uniquely ...

Abstract: Trajectory prediction for mobile phone users is a cornerstone component to support many higher-level applications in LBSs (Location-Based Services). Most existing methods are designed based ...

Why platforms like Kalshi and Polymarket want so badly to be seen as sources of news, instead of anything-goes casinos. Why platforms like Kalshi and Polymarket want so badly to be seen as sources of ...

This is the official implementation for TUTR: Trajectory Unified Transformer for Pedestrian Trajectory Prediction. [Paper] Abstract-- Pedestrian trajectory prediction is an essential link to ...

Abstract: Knowledge Graph Embedding (KGE) is a powerful technique for predicting missing links in knowledge graphs. Current mainstream research primarily focuses on Transformer-based language ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Deep learning has become a powerful and frequently employed tool for the prediction of ...

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology─KTH, Box 1031, SE-17121 Solna, Sweden ...

Diabetes mellitus is a group of complex metabolic disorders which has affected hundreds of millions of patients world-widely. The underlying pathogenesis of various types of diabetes is still unclear, ...

Identifying drug–target interaction (DTI) is the basis for drug development. However, the method of using biochemical experiments to discover drug-target interactions has low coverage and high costs.