OmniToM - Belief Extraction - Faux-pas Recognition Test: leaderboard
Metric: Belief-extraction macro F1 (%): story-level F1 between the extracted world-fact and actor-belief propositions and the gold propositions, matched semantically by a GPT-5 judge, macro-averaged over stories, on the 142 Faux-pas Recognition Test stories, on the 895 OmniToM stories from seven ToMBench categories (22,343 gold belief propositions), zero-shot TELeR level 3 prompts; GPT-5 is not scored as it is the judge; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Mistral Small 3 | 59.79 |
| 2 | Gemini 2.5 Flash | 57.78 |
| 3 | Gemma 3 27B (IT) | 56.05 |
| 4 | Mistral Large 2 (Jul) | 53.66 |
| 5 | Qwen 3 32B | 53.38 |
| 6 | Llama 3.3 70B Instruct | 46.33 |
| 7 | Qwen 3 8B | 44.21 |
| 8 | Llama 3.1 8B Instruct | 35.8 |
Interactive version: theaggregate.ai/benchmark?slug=omnitom-belief-extraction-faux-pas-recognition-test · How It Works · Data refreshed daily, snapshot 2026-10-07.