EmoMM - Conflict: leaderboard

The Conflict subset of EmoMM (Sun et al., 2026): test clips in which at least one of text, audio or video conveys a sentiment polarity that conflicts with the overall label. Five-class sentiment accuracy in percent; higher is better.

Metric: Accuracy (%; EmoMM-Conflict test subset, at least one modality's polarity conflicts with the ground truth; five-class sentiment). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro56.23#135
2Qwen2.5-Omni-7B46.47#1797

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=emomm-conflict · How It Works · Data refreshed daily, snapshot 2026-11-12.