ROME Safety Judgment - Shortcut Decision-Making: leaderboard
Metric: F1 (%) of unsafe-trajectory detection on the 100 ROME rewrites of R-Judge unsafe trajectories carrying authority, urgency or social-proof cues; the model judges zero-shot (temperature 0) whether an LLM-agent trajectory is safe or unsafe; unsafe is the positive class; each condition pairs 100 unsafe trajectories with the same 100 safe ones; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3.7 Sonnet | 85.97 |
| 2 | GPT-4o (2024-11-20) | 47.96 |
| 3 | Qwen 3 8B | 46.84 |
| 4 | Qwen 3 235B A22B | 43.43 |
Interactive version: theaggregate.ai/benchmark?slug=rome-safety-judgment-shortcut-decision-making · How It Works · Data refreshed daily, snapshot 2026-10-07.