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--- |
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base_model: |
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- mistralai/Mistral-7B-Instruct-v0.3 |
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datasets: |
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- noystl/Recombination-Extraction |
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language: |
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- en |
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library_name: transformers |
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license: cc |
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pipeline_tag: feature-extraction |
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--- |
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This Hugging Face repository hosts a fine-tuned Mistral model designed to classify scientific abstracts based on whether they involve idea recombination, as introduced in the paper [CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature](https://huggingface.co/papers/2505.20779). The model employs a LoRA adapter on top of a Mistral base model. |
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For detailed usage instructions and to reproduce the results, please refer to the linked GitHub repository. |
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**Bibtex** |
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```bibtex |
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@misc{sternlicht2025chimeraknowledgebaseidea, |
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title={CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature}, |
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author={Noy Sternlicht and Tom Hope}, |
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year={2025}, |
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eprint={2505.20779}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2505.20779}, |
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} |
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``` |
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**Quick Links** |
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- 🌐 [Project](https://noy-sternlicht.github.io/CHIMERA-Web) |
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- 📃 [Paper](https://arxiv.org/abs/2505.20779) |
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- 🛠️ [Code](https://github.com/noy-sternlicht/CHIMERA-KB) |
