OmniToM - Belief Labeling - Truth Status: leaderboard
Metric: Belief-labeling accuracy (%): exact-match accuracy of the predicted schema label on the given gold belief propositions, macro-averaged over stories, for the truth status (true, false or unknown) dimension, on the 895 OmniToM stories from seven ToMBench categories (22,343 gold belief propositions), zero-shot TELeR level 3 prompts; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Mistral Large 2 (Jul) | 86.53 |
| 2 | Gemini 2.5 Flash | 84.97 |
| 3 | Llama 3.3 70B Instruct | 83.55 |
| 4 | GPT-5 | 82.72 |
| 5 | Gemma 3 27B (IT) | 82.44 |
| 6 | Qwen 3 32B | 82.43 |
| 7 | Mistral Small 3 | 82.22 |
| 8 | Qwen 3 8B | 67.17 |
| 9 | Llama 3.1 8B Instruct | 65.59 |
Interactive version: theaggregate.ai/benchmark?slug=omnitom-belief-labeling-truth-status · How It Works · Data refreshed daily, snapshot 2026-10-07.