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Add main results method comparison chart

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Lliar-liar
2026-05-24 17:55:22 +00:00
parent c64fbcd4f8
commit 9012a79827
3 changed files with 44 additions and 0 deletions
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index.html
+22
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@@ -458,6 +458,21 @@
background: #ffffff; background: #ffffff;
} }
.comparison-frame {
margin-top: 18px;
background: #0b1018;
border: 1px solid var(--line-strong);
border-radius: 8px;
overflow: hidden;
box-shadow: var(--shadow);
}
.comparison-frame img {
display: block;
width: 100%;
background: #0b1018;
}
.caption { .caption {
padding: 13px 16px; padding: 13px 16px;
color: var(--muted); color: var(--muted);
@@ -1459,6 +1474,13 @@
</table> </table>
</div> </div>
<figure class="comparison-frame">
<img src="skillopt-assets/main-results-comparison.png" alt="Bar charts comparing SkillOpt with no skill, human skill, LLM skill, Trace2Skill, TextGrad, and GEPA across SearchQA, SpreadsheetBench, OfficeQA, DocVQA, LiveMath, and ALFWorld.">
<figcaption class="caption">
Method comparison from the project video. Bars report per-benchmark direct-chat accuracy averaged over seven target models; SkillOpt is best or tied-best in every panel.
</figcaption>
</figure>
</section> </section>
<section class="section" id="ablations"> <section class="section" id="ablations">
skillopt-assets/main-results-comparison.png
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skillopt.html
+22
View File
@@ -458,6 +458,21 @@
background: #ffffff; background: #ffffff;
} }
.comparison-frame {
margin-top: 18px;
background: #0b1018;
border: 1px solid var(--line-strong);
border-radius: 8px;
overflow: hidden;
box-shadow: var(--shadow);
}
.comparison-frame img {
display: block;
width: 100%;
background: #0b1018;
}
.caption { .caption {
padding: 13px 16px; padding: 13px 16px;
color: var(--muted); color: var(--muted);
@@ -1459,6 +1474,13 @@
</table> </table>
</div> </div>
<figure class="comparison-frame">
<img src="skillopt-assets/main-results-comparison.png" alt="Bar charts comparing SkillOpt with no skill, human skill, LLM skill, Trace2Skill, TextGrad, and GEPA across SearchQA, SpreadsheetBench, OfficeQA, DocVQA, LiveMath, and ALFWorld.">
<figcaption class="caption">
Method comparison from the project video. Bars report per-benchmark direct-chat accuracy averaged over seven target models; SkillOpt is best or tied-best in every panel.
</figcaption>
</figure>
</section> </section>
<section class="section" id="ablations"> <section class="section" id="ablations">