SciDiagramEdit - Evolved Skill Structure and Texture: leaderboard
SciDiagramEdit paper v1 test split from 364 author-revision figure pairs. Semantic and aesthetic win rates use blind pairs against the author's revised figure, judged by Claude Opus 4.7. The train/validation/test split is 2:1:3. Native fractions are retained; superscript improvements are not the score. The editor runs through Codex. A skill is an evolved prompt document, not a weight update. The Claude Opus 4.7 Coach uses two epochs, batch size 8, three frontiers, at most three analyst rounds and eight patches per update; editor timeout 600 seconds. Generation effort is not specified. Table 2 condition: Evolved Skill. Checklist success is judged against atomic edit requirements. IAA and ISTA are UniPercept scores on a 0–100 scale; pairwise win rates and success are fractions. Metric: UniPercept score (0–100).
Metric: UniPercept score (0–100). Source: arxiv.org. 1 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 | 45.58 | #31 |
Interactive version: theaggregate.ai/benchmark?slug=scidiagramedit-evolved-skill-structure-and-texture · How It Works · Data refreshed daily, snapshot 2026-10-26.