EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal
Video object removal must eliminate not only the target object but also its induced effects while maintaining high-fi...
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Video object removal must eliminate not only the target object but also its induced effects while maintaining high-fi...
Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet t...
Current video world models struggle in multiplayer environments because they entangle world state with view-dependent...
Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modelin...
Modern Greek is absent from NVIDIA's Nemotron retrieval models and from major multilingual retrieval benchmarks, desp...
Multilingual text embedding models are commonly adapted using a single training objective across diverse tasks, despi...
Classical continual learning (CL) has primarily focused on enabling models to update and retain knowledge through par...
Flow-matching vision-language-action (VLA) models such as pi0 generate robot actions by integrating a learned denoisi...
A framework that persists execution state so a run can be interrupted, survive a crash, and continue must decide what...
Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly co...
Multimodal large language models (MLLMs) make grounded predictions in real-world scenes by combining visual and textu...
Red-team evaluations of AI models support some claims and not others, and the boundary between the two is calculable ...