Precedent Treatment - High-Level (Few-Shot): leaderboard
Metric: Instance-based accuracy (%): share of the scored citing relationships (239 in the corpus) whose single predicted high-level treatment category (one of five, from neutral citation to invalidated) matches any of the expert-acceptable ground-truth labels, few-shot prompt with three dataset examples, which are removed from the test set, 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 | Gemini 2.5 Flash | 76.99 |
| 2 | Gemini 2.5 Pro | 73.27 |
| 3 | GPT-5 Mini | 70.05 |
| 4 | Qwen 3 30B A3B | 53.46 |
Interactive version: theaggregate.ai/benchmark?slug=precedent-treatment-high-level-few-shot · How It Works · Data refreshed daily, snapshot 2026-10-07.