BoxComm - Contextual: leaderboard
Metric: Content consistency accuracy (%) on the sentences whose requested category is contextual (fighter records, history, crowd); input video only; category-conditioned commentary generation on BoxComm-Eval (the last 40 of 445 World Boxing Championship broadcast matches, 5.6K professional commentary sentences): from the 4 seconds of video before the target moment, the 8 previous commentary sentences and a requested category (play-by-play, tactical or contextual) the model writes one commentary sentence, and GPT-5.2 judges whether it conveys the core action or tactical meaning of the reference sentence; zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Around November 2027. 3 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 8B Instruct | 18.3 |
| 2 | GPT-4o Mini | 14.2 |
Interactive version: theaggregate.ai/benchmark?slug=boxcomm-contextual · How It Works · Data refreshed daily, snapshot 2026-10-07.