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adding model info

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- # LLaVA-Med model for multimodal radiology report generation
 
 
 
 
 
 
 
 
 
 
 
 
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+ # LLaVA-Med model for multimodal radiology report generation
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+ This is a model based on LLaVA-Med 1.0, finetuned to generate medical reports, based on a chest X-ray and a prompt,
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+ in our case, the instruction was "write the finding section of chest x-ray radiology report".
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+ The dataset used for finetuning was the MIMIC-CXR share for the challenge in Radiology Report Generation
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+ for the Association for Computational Linguistics 2024 at BioNLP Workshop
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+ We used the 148,374 findings of MIMIC-CXR for finetuing during 3 epochs.
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+ More details of the challenge can be found on the [challenge web page](https://stanford-aimi.github.io/RRG24/)
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+ or in [workshop site](https://aclweb.org/aclwiki/BioNLP_Workshop)