RecRM-Bench - Factual Consistency: leaderboard
Metric: Accuracy (%) of the factual-consistency judgement (item and content hallucinations) the model gives for a recommender response, zero-shot, the model acting as a reward model for an agentic recommender on RecRM-Bench (real Meituan query-response logs), its parsed score compared with the gold label; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | LongCat-Flash-Chat | 67.34 |
| 2 | LongCat Flash (Thinking) | 64.98 |
| 3 | GPT-4.1 | 62.96 |
| 4 | Qwen 3 Max (Thinking) | 56.57 |
| 5 | DeepSeek V3.2 (Non-reasoning) | 43.43 |
| 6 | DeepSeek V3.2 (Thinking) | 41.41 |
Interactive version: theaggregate.ai/benchmark?slug=recrm-bench-factual-consistency · How It Works · Data refreshed daily, snapshot 2026-10-07.