VibeVideoBench evaluates multimodal agents that generate videos via code, finding that top systems meet core requirements on ...

We ask what a policy learns from its harness and what survives when the harness changes. Under KL-regularized control, we ...

Prox replaces calibrated thresholds with top-k channel selection and a weight-derived reader to accelerate Mixture-of-Experts ...

ThinkWorld improves robotic generalization by representing actions as dynamics chains and using world imagination to learn ...

Hy-Nomas is a video world model that uses causal attention and structured captions to follow multi-turn text and camera ...

Rollback improves robot policies by using world models to rewind to past decisions, explore counterfactual actions, and ...

A world model predicts machine learning program outcomes to enable affordable test-time scaling for AI research agents, ...

CREDIT improves language model self-attribution of external information via counterfactual training, reducing false ...

StreamVibe introduces a benchmark, streaming vision-language model, and hierarchical memory harness to enable proactive, ...

Optimized unmasking policies for masked diffusion language models improve efficiency by using trajectory-contraction targets ...

Reinforcement learning improves reasoning accuracy without requiring a specific wait marker, which originates from training ...

Factor-Aware Predictive Learning enables video diffusion transformers to leverage multimodal language model representations ...