ES-MemEval QA (RAG) - User Modeling: leaderboard
Metric: Token-level F1 (%; answers scored against human-checked reference answers; questions that infer the user's traits, preferences and changing state; 251 questions; bge-m3 retrieval of the four most relevant full sessions from a FAISS index). Source: arxiv.org. Saturation forecast: Estimated already saturated. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-3.5 Turbo | 22 |
| 2 | GPT-4o | 21.2 |
| 3 | Mistral Small 3.1 | 16.4 |
| 4 | Phi-3-medium-128k-instruct | 13.4 |
| 5 | Ministral-8B-Instruct-2410 | 12.6 |
Interactive version: theaggregate.ai/benchmark?slug=es-memeval-qa-rag-user-modeling · How It Works · Data refreshed daily, snapshot 2026-09-26.