OmniToM - Belief Labeling - Context: 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 context (deceptive, temporal, counterfactual or neutral) 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) | 92.97 |
| 2 | Gemini 2.5 Flash | 92.14 |
| 3 | Gemma 3 27B (IT) | 92.07 |
| 4 | Mistral Small 3 | 91.9 |
| 5 | Llama 3.3 70B Instruct | 91.69 |
| 6 | Qwen 3 32B | 90.81 |
| 7 | GPT-5 | 88.83 |
| 8 | Llama 3.1 8B Instruct | 76.81 |
| 9 | Qwen 3 8B | 74.62 |
Interactive version: theaggregate.ai/benchmark?slug=omnitom-belief-labeling-context · How It Works · Data refreshed daily, snapshot 2026-10-07.