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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/ninglab/GeLLMO
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- - **Paper:** Coming soon
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  ## Usage
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@@ -37,4 +37,17 @@ safety filters (e.g., toxicity or compliance checks).
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  It is the responsibility of users to validate generated molecules for safety and ethical considerations.
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  We urge users to adopt best practices, including toxicity prediction pipelines,
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- ethical oversight, and responsible AI usage policies, to prevent harmful applications of this model.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/ninglab/GeLLMO
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+ - **Paper:** https://arxiv.org/abs/2502.13398
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  ## Usage
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  It is the responsibility of users to validate generated molecules for safety and ethical considerations.
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  We urge users to adopt best practices, including toxicity prediction pipelines,
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+ ethical oversight, and responsible AI usage policies, to prevent harmful applications of this model.
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+
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+ ## Citation
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+ ```
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+ @misc{dey2025gellmo,
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+ title={$\mathtt{GeLLM^3O}$: Generalizing Large Language Models for Multi-property Molecule Optimization},
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+ author={Vishal Dey and Xiao Hu and Xia Ning},
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+ year={2025},
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+ eprint={2502.13398},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2502.13398},
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+ }
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+ ```