Benchmark
FACTS Grounding
reasoning
text
A benchmark evaluating language models' ability to generate factually accurate and well-grounded responses based on long-form input context, comprising 1,719 examples with documents up to 32k tokens requiring detailed responses that are fully grounded in provided documents
语言EN
满分1
参评模型9
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Gemini 2.5 Pro Preview 06-05 | 87.8 | 来源 ↗ | |
| 2 | Gemini 2.5 Flash | 85.3 | 来源 ↗ | |
| 3 | Gemini 2.5 Flash-Lite | 84.1 | 来源 ↗ | |
| 4 | Gemini 2.0 Flash | 83.6 | 来源 ↗ | |
| 5 | Gemini 2.0 Flash-Lite | 83.6 | 来源 ↗ | |
| 6 | Gemma 3 12B | 75.8 | 来源 ↗ | |
| 7 | Gemma 3 27B | 74.9 | 来源 ↗ | |
| 8 | Gemma 3 4B | 70.1 | 来源 ↗ | |
| 9 | Gemma 3 1B | 36.4 | 来源 ↗ |