Precedent Treatment - Fine-Grained (Zero-Shot): leaderboard
Metric: Instance-based accuracy (%): share of the scored citing relationships (239 in the corpus) whose single predicted fine-grained treatment label (one of 16 citator signals such as distinguished, questioned or overruled) matches any of the expert-acceptable ground-truth labels, zero-shot prompt, given the citing-opinion paragraphs that discuss the precedent; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 67.71 |
| 2 | Gemini 2.5 Pro | 66.38 |
| 3 | Gemini 2.5 Flash | 64.63 |
| 4 | Qwen 3 30B A3B | 53.56 |
Interactive version: theaggregate.ai/benchmark?slug=precedent-treatment-fine-grained-zero-shot · How It Works · Data refreshed daily, snapshot 2026-10-07.