RPEval - Multi-Preference (Explicit Memory): leaderboard
Metric: Item-level (micro) accuracy (%; multi-preference items of RPEval: given a query and several explicit preferences, either all irrelevant (Ignore-All) or one to three relevant ones among irrelevant ones (Leave-K-Out), the share of preferences whose applicability the model classifies correctly; Reminder prompt). Source: arxiv.org. Saturation forecast: Around 2031. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | DeepSeek V3 | 56 |
| 2 | GPT-4.1 | 49 |
| 3 | GPT-5 | 39 |
Interactive version: theaggregate.ai/benchmark?slug=rpeval-multi-preference-explicit-memory · How It Works · Data refreshed daily, snapshot 2026-09-26.