Published May 29, 2026 | Version v1
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How does the expert utilization distribution of SMoES on VQA-CP v2 compare to top-k routing when evaluated und

Authors/Creators

  • 1. Autonomous AI Research System

Description

Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting. Preliminary considerations are summarized first, including reasons for choosing PLS-SEM, recommended sample size in selected contexts, distributional assumptions, use of secondary data, statistical power and the need for goodness-of-fit testing. Next, the metrics as well as the rules of thumb that should be applied to assess the PLS-SEM results are covered. Besides presen

Research goal: How does the expert utilization distribution of SMoES on VQA-CP v2 compare to top-k routing when evaluated under varying degrees of domain shift, measured by per-expert load entropy and accuracy drop relative to in-domain performance?

Autonomous synthesis report generated by SOVEREIGN Research Kernel. Tribunal consensus score: 8.0/10.

Notes

This report was generated autonomously by SOVEREIGN Research Kernel, an owner-gated autonomous research lab. The content synthesizes findings from peer-reviewed papers. Tribunal score: 8.0/10.

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