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@@ -81,6 +81,9 @@ print(processor.decode(output[0]))
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  See [biomed-VQA-benchmark](https://huggingface.co/datasets/AdaptLLM/biomed-VQA-benchmark) to reproduce our results and evalaute more MLLMs on the domain-specific benchmarks.
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  ## Citation
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  If you find our work helpful, please cite us.
 
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  See [biomed-VQA-benchmark](https://huggingface.co/datasets/AdaptLLM/biomed-VQA-benchmark) to reproduce our results and evalaute more MLLMs on the domain-specific benchmarks.
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+ ## 3. To Reproduce this Domain-Adapted MLLM
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+ See [Post-Train Guide](https://github.com/bigai-ai/QA-Synthesizer/blob/main/docs/Post_Train.md) to adapt MLLMs to domains.
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  ## Citation
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  If you find our work helpful, please cite us.