Table 9 Experiment results of the Xunzi-Baichuan Language Model
From: Automatic recognition of cross-language classic entities based on large language models
| Â | Â | Xunzi-Baichuan | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shot | Â | ALL | FAN | JIAN | |||||||||
Zero | Â | all | PER | OFI | BOOK | all | PER | OFI | BOOK | all | PER | OFI | BOOK |
F1 | 81.87 | 85.64 | 78.11 | 55.91 | 82.39 | 85.68 | 79.42 | 57.26 | 80.94 | 85.58 | 75.82 | 53.31 | |
R | 81.41 | 85.56 | 77.42 | 53.19 | 81.90 | 85.60 | 78.65 | 54.33 | 80.55 | 85.49 | 75.27 | 50.96 | |
P | 82.32 | 85.73 | 78.82 | 58.93 | 82.89 | 85.76 | 80.20 | 60.53 | 81.33 | 85.67 | 76.39 | 55.88 | |
One | F1 | 82.19 | 85.57 | 79.06 | 56.24 | 82.63 | 85.35 | 80.42 | 58.63 | 81.43 | 85.94 | 76.68 | 51.53 |
R | 81.73 | 85.39 | 78.54 | 53.06 | 82.05 | 85.12 | 79.65 | 55.51 | 81.18 | 85.84 | 76.58 | 48.28 | |
P | 82.66 | 85.75 | 79.59 | 59.82 | 83.22 | 85.59 | 81.21 | 62.11 | 81.67 | 86.03 | 76.77 | 55.26 | |
Three | F1 | 81.98 | 85.21 | 79.01 | 57.30 | 82.50 | 85.25 | 80.31 | 58.70 | 81.06 | 85.14 | 76.74 | 54.47 |
R | 81.53 | 85.03 | 78.36 | 55.14 | 82.09 | 85.15 | 79.60 | 57.09 | 80.53 | 84.84 | 76.18 | 51.34 | |
P | 82.44 | 85.38 | 79.68 | 59.63 | 82.92 | 85.35 | 81.03 | 60.42 | 81.60 | 85.44 | 77.30 | 58.01 | |
Five | F1 | 81.83 | 85.21 | 78.81 | 54.90 | 82.22 | 85.05 | 80.03 | 56.29 | 81.15 | 85.47 | 76.64 | 52.21 |
R | 81.43 | 85.01 | 78.36 | 52.41 | 81.80 | 84.86 | 79.56 | 53.74 | 80.76 | 85.27 | 76.25 | 49.81 | |
P | 82.24 | 85.40 | 79.26 | 57.65 | 82.64 | 85.24 | 80.51 | 59.09 | 81.54 | 85.68 | 77.05 | 54.85 | |
