BARISTA - Referring Expression Generation: leaderboard
Metric: Correctness of the generated description of a marked region, Gemini 2.5 Flash G-Eval judge (0 to 10 rubric rescaled to 0-1), over 1,000 frozen examples on BARISTA, an egocentric coffee-preparation video dataset with verified per-frame scene graphs, zero-shot with shared task prompts, temperature 0.7 (GPT-5.4 mini at its fixed sampling), low thinking effort for the closed models, mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B | 0.67 |
| 2 | Qwen 3.5 27B | 0.62 |
| 3 | Qwen 3.5 9B | 0.58 |
| 4 | GPT-5.4 Mini (Low) | 0.31 |
Interactive version: theaggregate.ai/benchmark?slug=barista-referring-expression-generation · How It Works · Data refreshed daily, snapshot 2026-10-07.