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Yueqi Duan

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Preprint Aug 2026

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score. This is especially critical for world models, where judging a rollout requires understanding whether physics, causality, and world state evolve correctly. Humans spot such violations natu...

Weiliang Chen, Haowen Sun, Jun Gao et al. · 2 citations
Preprint Aug 2026

Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning

Experiments show that Code-as-World-VL achieves state-of-the-art performance on QuantiPhy and surpasses leading proprietary models, highlighting the potential of executable world representations as a scalable foundation for physical intelligence.

Han-Yang Wang, Yiyang Cai, Wei-Liang Chen et al. · 10 citations · ⚡1
#artificial intelligence Preprint Aug 2026

ParallelWorld: Test-Time Scaling for Embodied Reasoning

This work proposes ParallelWorld, a multi-horizon test-time scaling framework for embodied reasoning that empowers agents to simulate and evaluate multi-step future trajectories in parallel before committing to an action.

Min Chen, Shengjun Zhang, Yu-Xin Li et al. · 0 citations

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