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The current version of Scholar Copilot leverages a state-of-the-art 7-billion-parameter language model (LLM) trained on the complete Arxiv full paper corpus. This unified model for retrieval and generation is adept at making context-sensitive decisions about when to cite, what to cite, and how to generate coherent content based on reference papers.
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## 🌟 Key Features
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The current version of Scholar Copilot leverages a state-of-the-art 7-billion-parameter language model (LLM) trained on the complete Arxiv full paper corpus. This unified model for retrieval and generation is adept at making context-sensitive decisions about when to cite, what to cite, and how to generate coherent content based on reference papers.
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| [**🚀Project Page**](https://tiger-ai-lab.github.io/ScholarCopilot/) | [**📖Paper**](https://arxiv.org/abs/2504.00824) | [**🔗Github**](https://github.com/TIGER-AI-Lab/ScholarCopilot/) | [**🤗Data**](https://huggingface.co/datasets/TIGER-Lab/ScholarCopilot-Data-v1) | [**🤗Demo**](https://huggingface.co/spaces/TIGER-Lab/ScholarCopilot) |
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## 🌟 Key Features
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