DiBiMT — leaderboard
Divide and Benchmark in Machine Translation: word sense disambiguation benchmark for MT systems across multiple language pairs.
Metric: Avg Accuracy (%). Source: nlp.uniroma1.it. Status: saturated. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4 | 71.09 |
| 2 | Gemma 2 9B | 69.8 |
| 3 | GPT-3.5 Turbo | 67.3 |
| 4 | Llama 3 8B | 55.45 |
| 5 | Mistral 7B | 48.31 |
| 6 | gemma-7B | 46.79 |
| 7 | Llama 2 7B | 46.05 |
| 8 | gemma-2B | 40.53 |
Interactive version: theaggregate.ai/benchmark?slug=dibimt · How the rankings work · Data refreshed daily, snapshot 2026-07-22.