✨BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives
📝 Summary:
BiCA improves biomedical dense retrieval by using citation links as hard negatives. This leverages document structure to enhance performance with minimal fine-tuning, enabling data-efficient domain adaptation.
🔹 Publication Date: Published on Nov 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08029
• PDF: https://arxiv.org/pdf/2511.08029
• Github: https://github.com/NiravBhattLab/BiCA
🔹 Models citing this paper:
• https://huggingface.co/bisectgroup/BiCA-small
• https://huggingface.co/bisectgroup/BiCA-base
✨ Datasets citing this paper:
• https://huggingface.co/datasets/bisectgroup/2hop-citation-graphs
• https://huggingface.co/datasets/bisectgroup/hard-negatives-traversal
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#BiomedicalAI #DenseRetrieval #NLP #MachineLearning #InformationRetrieval
📝 Summary:
BiCA improves biomedical dense retrieval by using citation links as hard negatives. This leverages document structure to enhance performance with minimal fine-tuning, enabling data-efficient domain adaptation.
🔹 Publication Date: Published on Nov 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08029
• PDF: https://arxiv.org/pdf/2511.08029
• Github: https://github.com/NiravBhattLab/BiCA
🔹 Models citing this paper:
• https://huggingface.co/bisectgroup/BiCA-small
• https://huggingface.co/bisectgroup/BiCA-base
✨ Datasets citing this paper:
• https://huggingface.co/datasets/bisectgroup/2hop-citation-graphs
• https://huggingface.co/datasets/bisectgroup/hard-negatives-traversal
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#BiomedicalAI #DenseRetrieval #NLP #MachineLearning #InformationRetrieval