E3mo-Bench (Expressed) - Open-Vocabulary Recognition (VAD Similarity): leaderboard
Metric: Redundancy-aware VAD set similarity F-VAD (%; predicted and reference open-vocabulary emotion sets compared in a z-normalized valence-arousal-dominance lexicon space after merging near-duplicate emotions, so that distant confusions cost more; 16 MLLMs on videos from eight emotion datasets, each assigned one affective perspective; subset: the emotion expressed by the people on screen). Source: arxiv.org. Saturation forecast: Around 2033. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 | 48.89 |
| 2 | InternVL3-8B | 48.41 |
| 3 | Qwen2.5-Omni-7B | 44.47 |
| 4 | Claude Sonnet 4.6 | 43.78 |
Interactive version: theaggregate.ai/benchmark?slug=e3mo-bench-expressed-open-vocabulary-recognition-vad-similarity · How It Works · Data refreshed daily, snapshot 2026-09-29.