Underwater C3-JEPA: An Object-Centric Cross-View World Model for ROV Salvage
We present Underwater C$^{3}$-JEPA (cross-view, control-conditioned, context-extended), an object-centric multi-view ...
每天自动聚合 AI 领域最新动态
We present Underwater C$^{3}$-JEPA (cross-view, control-conditioned, context-extended), an object-centric multi-view ...
A central concern in AI safety is that agents may treat oversight as an obstacle when it conflicts with completing th...
Pre-logit steering adapts a frozen language model to a test-time reward by adding vectors to its final hidden states....
An acceptance protocol is developed for sensor-coordinate and polarity binding in mechatronic commissioning. Candidat...
Existing point tracking models face a fundamental tradeoff: they can either track a sparse set of query points over l...
Foundation models are post-trained with reinforcement learning (RL) to maximize specific rewards, such as human align...
Online misinformation increasingly appears in spoken formats such as news clips, podcasts, interviews, political spee...
Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states beca...
World Action Models (WAMs) couple action generation with future visual prediction for robotic manipulation. However, ...
Coding agents have demonstrated enormous success in solving complex programming problems. To leverage their potential...
Latent world models are typically trained to predict factual transitions, whereas model predictive control (MPC) must...
Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct...