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Found 2 papers, 1 papers with code
Comparative Analysis of LLaMA and ChatGPT Embeddings for Molecule Embedding
Results: We find that SMILES embeddings generated using LLaMA outperform those from ChatGPT in both MP and DDI prediction tasks.
Dual-branch residual network for lung nodule segmentation
Experimental results show that the DB-ResNet achieves superior segmentation performance with an average dice score of 82. 74% on the dataset.
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