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Qing-Bin Liu

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Preprint Aug 2026

SCOPE: Score-Isolated Agentic Optimization for Video World Models

Video world models are increasingly used as simulators for planning and embodied decision making, yet improving them at inference time introduces a subtle evaluation problem: prompts, samplers, verifiers, and selectors may evolve together, making it difficult to attribute gains or prevent held-out feedback from shaping...

Yu-Hua Jiang, Jiaming Wang, Qing-Bin Liu 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

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