Author

Ting Cao

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#artificial intelligence Preprint Sep 2026

Efficient World Action Model Inference with Adaptive Intermediate States

World Action Models (WAMs) enable future-aware control by jointly modeling actions and environment dynamics. However, iterative diffusion or flow inference incurs substantial denoising latency. Prior inference state offers a natural opportunity for acceleration, yet changing planning contexts, observations, and interme...

Zhi-Nan Liu, Hao-Zhi Han, Ru-Ge Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution

AtomWorld-Mem is introduced, a memory-restored atomistic world model that recovers the latent world state missing from instantaneous crystal snapshots and improves long-horizon atomistic progress under fixed microscopic event budgets while maintaining high-fidelity evolution across energetic, structural, and vacancy-tr...

Tian-Ge Luo, Ru-Ge Zhang, Hao-Zhi Han et al. · 0 citations