Compare only open Qwen 3.5 models

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wassname
2026-07-30 15:38:00 +08:00
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## Evaluation snapshot
A fixed Gemma 4 31B judge compared the assigned motives in both account orders.
With no rubric, crossed-set accuracy declines slightly across the five Qwen
explanation models. This describes the judge finding the generated accounts
harder to classify, not stronger models concealing motives better.
With no rubric, crossed-set accuracy declines across the four open Qwen 3.5
explanation models. Qwen 3.7 Max and Kimi K3 are omitted from this headline
because they are not from the same open model generation. This describes the
judge finding the generated accounts harder to classify, not stronger models
concealing motives better.
![No-rubric assigned-motive accuracy across five Qwen explanation models](results/no_rubric_motive_by_agent.svg)
![No-rubric assigned-motive accuracy across four open Qwen 3.5 explanation models](results/no_rubric_motive_by_agent.svg)
## Reproduce it
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<text x="380" y="30" text-anchor="middle" font-size="18">Assigned-motive accuracy across five Qwen models</text>
<text x="380" y="52" text-anchor="middle" font-size="11" fill="#555">no rubric; fixed Gemma 4 31B judge; crossed action-harm set</text>
<text x="380" y="24" text-anchor="middle" font-size="18">Assigned-motive accuracy across four open Qwen 3.5 models</text>
<text x="380" y="46" text-anchor="middle" font-size="11" fill="#555">no rubric; fixed Gemma 4 31B judge (AA 29); crossed action-harm set</text>
<text x="440" y="70" text-anchor="end" font-size="10" fill="#555">weak to strong ←</text>
<text x="464" y="70" text-anchor="middle" font-size="10" font-weight="bold" fill="#444">| judge |</text>
<text x="488" y="70" text-anchor="start" font-size="10" fill="#555">→ strong to weak</text>
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<text x="706" y="201.5" text-anchor="end" font-size="10" fill="#666">chance</text>
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<text x="58" y="334" text-anchor="end" font-size="10" fill="#555">0.25</text>
<text x="58" y="272.75" text-anchor="end" font-size="10" fill="#555">0.375</text>
@@ -16,26 +20,24 @@
<text x="58" y="89" text-anchor="end" font-size="10" fill="#555">0.75</text>
<text x="17" y="207.5" text-anchor="middle" font-size="12" transform="rotate(-90 17 207.5)">crossed-set accuracy</text>
<line x1="70" y1="171.7" x2="710" y2="208" stroke="#333" stroke-width="1.6"/>
<text x="700" y="224" text-anchor="end" font-size="10" fill="#444">fit: -0.003 accuracy / AA point</text>
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<text x="700" y="226" text-anchor="end" font-size="10" fill="#444">fit: -0.009 accuracy / AA point</text>
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<text x="70" y="347" text-anchor="middle">21</text>
<text x="274.8" y="347" text-anchor="middle">29</text>
<text x="351.6" y="347" text-anchor="middle">32</text>
<text x="402.8" y="347" text-anchor="middle">34</text>
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<text x="380" y="378" text-anchor="middle" font-size="11" fill="#555">Artificial Analysis score</text>
<text x="380" y="402" text-anchor="middle" font-size="10" fill="#666">circles: Qwen 3.5; square: Qwen 3.7 Max; line: five-model linear fit</text>
<text x="380" y="402" text-anchor="middle" font-size="10" fill="#666">Qwen 3.5: 9B, 35B-A3B, 122B-A10B, 397B-A17B; line: four-model fit</text>
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