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[Result] Update Evaluation Results #60

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update AI2D accuracy
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kennymckormick committed Jan 21, 2024
commit 412c67c7c6ea2aae3b3c6111f678409e487c8ea4
39 changes: 39 additions & 0 deletions results/AI2D.md
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# AI2D Evaluation Results

> During evaluation, we use `GPT-3.5-Turbo-0613` as the choice extractor for all VLMs if the choice can not be extracted via heuristic matching. **Zero-shot** inference is adopted.

## AI2D Accuracy

| Model | overall |
|:----------------------------|----------:|
| Monkey-Chat | 72.6 |
| GPT-4v (detail: low) | 71.3 |
| Qwen-VL-Chat | 68.5 |
| Monkey | 67.6 |
| GeminiProVision | 66.7 |
| QwenVLPlus | 63.7 |
| Qwen-VL | 63.4 |
| LLaVA-InternLM2-20B (QLoRA) | 61.4 |
| CogVLM-17B-Chat | 60.3 |
| ShareGPT4V-13B | 59.3 |
| TransCore-M | 59.2 |
| LLaVA-v1.5-13B (QLoRA) | 59 |
| LLaVA-v1.5-13B | 57.9 |
| ShareGPT4V-7B | 56.7 |
| InternLM-XComposer-VL | 56.1 |
| LLaVA-InternLM-7B (QLoRA) | 56 |
| LLaVA-v1.5-7B (QLoRA) | 55.2 |
| mPLUG-Owl2 | 55.2 |
| SharedCaptioner | 55.1 |
| IDEFICS-80B-Instruct | 54.4 |
| LLaVA-v1.5-7B | 54.1 |
| PandaGPT-13B | 49.2 |
| LLaVA-v1-7B | 47.8 |
| IDEFICS-9B-Instruct | 42.7 |
| InstructBLIP-7B | 40.2 |
| VisualGLM | 40.2 |
| InstructBLIP-13B | 38.6 |
| MiniGPT-4-v1-13B | 33.4 |
| OpenFlamingo v2 | 30.7 |
| MiniGPT-4-v2 | 29.4 |
| MiniGPT-4-v1-7B | 28.7 |