Neo-Classic - Author Attribution (10-Shot): leaderboard

Stylistic author attribution: pick the pseudonymous author of a poem from four candidates given ten example poems per candidate, on a contemporary out-of-sample corpus of metrically verified classical Chinese poems by pseudonymous university poets, from Neo-Classic (Zhang et al., 2026). Accuracy in percent on a 100-question sample; higher is better.

Metric: Accuracy (%; pick the pseudonymous author of a contemporary poem from four candidates, given ten example poems per candidate; accuracy on a 100-question sample of the task, as reported in the paper's full results table (accuracy@IF); temperature 0.1, top-p 0.9). Source: arxiv.org. Saturation forecast: Around 2032. 8 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 Max55#401
2GPT-4o40.4#741
3Gemini 2.5 Pro40#262
4DeepSeek V3.237.7#403
5Yi 1.5 34B Chat37#2513
6Gemini 3 Pro (Preview)27#111

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=neo-classic-author-attribution-10-shot · How It Works · Data refreshed daily, snapshot 2026-11-12.