LLaVATour is a large-scale multimodal model specialized for Japanese tourism. It is trained on a dataset collected from Jalan.net, consisting of over 1.3 million entries covering various tasks such as landmark recognition, description generation, and review generation.
| Model | Acc ↑ (total) | Acc ↑ (pop) | Acc ↑ (mid) | Acc ↑ (low) |
|---|---|---|---|---|
| ChatGPT-4V | 0.026 | 0.0771 | 0.0214 | 0.0172 |
| ChatGPT-4o | 0.155 | 0.275 | 0.160 | 0.119 |
| Gemini-Pro-1.5 | 0.092 | 0.174 | 0.093 | 0.071 |
| ResNet18-FT | 0.143 | 0.207 | 0.152 | 0.119 |
| LLaVA-1.5 | 0.0169 | 0.0378 | 0.0161 | 0.0123 |
| LLaVA-Tour | 0.166 | 0.243 | 0.192 | 0.122 |
| Model | BLUE ↑ | R-1 ↑ | R-L ↑ | DIV ↑ | PROPN ↑ | TFIDF15 ↑ |
|---|---|---|---|---|---|---|
| ChatGPT-4V | 0.622 | 0.250 | 0.165 | 0.955 | 0.278 | 0.100 |
| LLaVA-Tour | 1.489 | 0.249 | 0.179 | 0.919 | 0.449 | 0.127 |
| LLaVA-Tour + context | 1.574 | 0.258 | 0.180 | 0.924 | 0.481 | 0.139 |


(top 30 of 42)
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LLaVATour is a large-scale multimodal model specialized for Japanese tourism. It is trained on a dataset collected from Jalan.net, consisting of over 1.3 million entries covering various tasks such as landmark recognition, description generation, and review generation.
| Model | Acc ↑ (total) | Acc ↑ (pop) | Acc ↑ (mid) | Acc ↑ (low) |
|---|---|---|---|---|
| ChatGPT-4V | 0.026 | 0.0771 | 0.0214 | 0.0172 |
| ChatGPT-4o | 0.155 | 0.275 | 0.160 | 0.119 |
| Gemini-Pro-1.5 | 0.092 | 0.174 | 0.093 | 0.071 |
| ResNet18-FT | 0.143 | 0.207 | 0.152 | 0.119 |
| LLaVA-1.5 | 0.0169 | 0.0378 | 0.0161 | 0.0123 |
| LLaVA-Tour | 0.166 | 0.243 | 0.192 | 0.122 |
| Model | BLUE ↑ | R-1 ↑ | R-L ↑ | DIV ↑ | PROPN ↑ | TFIDF15 ↑ |
|---|---|---|---|---|---|---|
| ChatGPT-4V | 0.622 | 0.250 | 0.165 | 0.955 | 0.278 | 0.100 |
| LLaVA-Tour | 1.489 | 0.249 | 0.179 | 0.919 | 0.449 | 0.127 |
| LLaVA-Tour + context | 1.574 | 0.258 | 0.180 | 0.924 | 0.481 | 0.139 |


(top 30 of 42)
Python
59.3%
HTML
38.1%
Shell
2.1%