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Fei-Fei Gao

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#artificial intelligence Preprint Sep 2026

Sampling headroom is not selection gain: a compute-value audit of test-time scaling for video world models

The Compute-Value Audit (CVA) is introduced, a sequential framework that asks whether extra sampling creates opportunity, observable signals provide a reliable state, that state supports a beneficial action, and the resulting gain exceeds the full entry fee of generation and verification.

Yu-Hua Jiang, Jun-Jie Lu, Fei-Fei Gao · 0 citations

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