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Liu-Zhou Zhang

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#artificial intelligence Preprint Sep 2026

OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models

Video world models must preserve the visual state of the world over time, but existing evaluation protocols often rely on generated histories, video reference, or selected revisit viewpoints that can confound the assessment of a model's true memory capability. To address this, we introduce OPIS, an input-grounded bench...

Hao Wang, Tao Yu, Liu-Zhou Zhang et al. · 0 citations

Preprint Aug 2026

ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models

Action-conditioned video world models require low-latency causal generation and reliable responses to game-native controls. Although causal distillation enables one- or few-step video synthesis, extending it to interactive world models remains challenging, as discrete keyboard states and continuous mouse motion must re...

Xin-Ye Li, Lingshuai Lin, Lei Wang et al. · 1 citation