RPCBench - Domain - MovieLens-1M - Fact Fabrication: leaderboard
RPCBench tests proactive premise critique in recommendation requests. This series measures fact fabrication on the MovieLens-1M subset (462 questions), using the same eleven-model, three-judge experiment as the headline paper. Published FFR fractions from the authors' per-model CSV are scaled once to Fact Fabrication Rate (%). Lower is better; domains and nested premise-error groups are related slices of the same experiment.
Metric: Fact Fabrication Rate (%). Source: github.com. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 122B A10B | 4.55 | #186 |
| 2 | GPT-5.5 | 6.06 | #34 |
| 3 | Qwen 3.5 Plus | 6.49 | #136 |
| 4 | Qwen 3.5 397B A17B | 7.36 | #155 |
| 5 | Qwen 3.5 35B A3B | 7.58 | #270 |
| 6 | Gemini 3.1 Pro (Preview) | 7.79 | #66 |
| 7 | DeepSeek V4 Pro | 11.26 | #113 |
| 8 | DeepSeek V4 Flash | 16.67 | #156 |
| 9 | Claude Sonnet 4.6 | 27.71 | #97 |
| 10 | Llama 3.1 70B Instruct | 57.14 | #570 |
| 11 | Llama 3.1 8B Instruct | 67.53 | #1021 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=rpcbench-domain-movielens-1m-fact-fabrication · How It Works · Data refreshed daily, snapshot 2026-11-07.