Question Answering on Intelligent Transport System Knowledge QA
95.6MCQ AccuracyExpressMind-14B
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| ExpressMind-14BParameters=14B2026.03 | 95.6 | 95.1 | 95.3 | 96.5 | 96 | 96.8 | 95.9 | 88.7 | 84.9 | 86.5 | |
| Llama-3.3-70BParameters=70B2026.03 | 94.9 | 94.1 | 94.5 | 95 | 94.5 | 95.1 | 94.2 | 87.6 | 84.7 | 85.8 | |
| Qwen-32BParameters=32B2026.03 | 94.3 | 93.5 | 93.9 | 94.8 | 94.2 | 95.2 | 91.7 | 84.2 | 71.2 | 80.5 | |
| DeepSeek-R1-Distill-Llama-70BParameters=70B, Backbone=Llama2026.03 | 93.9 | 94.5 | 94.5 | 92.8 | 93.2 | 92.7 | 94.1 | 87.4 | 84.2 | 86.1 | |
| DeepSeek-R1-Distill-Qwen-32BParameters=32B, Backbone=Qwen2026.03 | 93.4 | 94.1 | 93.8 | 92.7 | 92.5 | 93.2 | 95.6 | 87.1 | 83.5 | 85.5 | |
| GLM-4-32BParameters=32B2026.03 | 90.1 | 88.5 | 89.3 | 89.4 | 88.8 | 89.7 | 88.6 | 78.9 | 69.7 | 74.1 | |
| Baichuan-32BParameters=32B2026.03 | 88.6 | 86.8 | 87.7 | 86.5 | 85.9 | 86.4 | 87.5 | 76.8 | 68.9 | 72.5 |