PaperAudit-Bench (Fast Mode) - GPT-5 Errors: leaderboard
Metric: Macro-F1 (%; the per-paper harmonic mean of error coverage and finding precision, averaged over the 46 NeurIPS 2025 oral papers of the benchmark's NeurIPS branch as corrupted by gpt-5-2025-08-07 with 10-20 injected errors of eight types; Fast mode, one global review pass over the whole paper; findings matched to the injected errors by a GPT-5.1 judge; the three text-only detectors read the papers with figures removed). Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 62.5 |
| 2 | Gemini 2.5 Pro | 60.5 |
| 3 | Grok 4 | 48.1 |
| 4 | Qwen 3 235B A22B 2507 Instruct | 45.7 |
| 5 | O4 Mini | 45.3 |
| 6 | DeepSeek V3.1 (Non-reasoning) | 43.6 |
| 7 | Claude Sonnet 4.5 | 43.1 |
| 8 | GLM-4.6 (Non-reasoning) | 35.5 |
| 9 | Kimi K2 0905 | 21.6 |
Interactive version: theaggregate.ai/benchmark?slug=paperaudit-bench-fast-mode-gpt-5-errors · How It Works · Data refreshed daily, snapshot 2026-09-29.