| | ---
|
| | language:
|
| | - zho
|
| | - eng
|
| | - fra
|
| | - spa
|
| | - por
|
| | - deu
|
| | - ita
|
| | - rus
|
| | - jpn
|
| | - kor
|
| | - vie
|
| | - tha
|
| | - ara
|
| | base_model:
|
| | - Qwen/Qwen2.5-7B
|
| | license: apache-2.0
|
| | ---
|
| |
|
| | # ScholarCopilot-v1 Model
|
| |
|
| | ScholarCopilot-v1 is the foundation model of [Scholar Copilot](https://arxiv.org/abs/2504.00824). Scholar Copilot improves the academic writing process by seamlessly integrating automatic text completion and intelligent citation suggestions into a cohesive, human-in-the-loop AI-driven pipeline. Designed to enhance productivity and creativity, it provides researchers with high-quality text generation and precise citation recommendations powered by iterative and context-aware Retrieval-Augmented Generation (RAG).
|
| |
|
| | 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.
|
| |
|
| | | [**🚀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) |
|
| |
|
| |
|
| | ## 🌟 Key Features
|
| |
|
| | - ** 📝 Next-3-Sentence Suggestions: Facilitates writing by predicting the next sentences with automatic retrieval and citation of relevant reference papers.
|
| | - ** 📚 Citation Suggestions on Demand: Provides precise, contextually appropriate paper citations whenever needed.
|
| | - ** ✨ Full Section Auto-Completion: Assists in brainstorming and drafting comprehensive paper content and structure.
|
| |
|
| | The current version of ScholarCopilot primarily focuses on the introduction and related work sections of academic papers. We will support full-paper writing in future releases.
|
| |
|
| | ## Citation
|
| |
|
| | Please cite our paper with
|
| | ```
|
| | @article{wang2024scholarcopilot,
|
| | title={ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations},
|
| | author = {Wang, Yubo and Ma, Xueguang and Nie, Ping and Zeng, Huaye and Lyu, Zhiheng and Zhang, Yuxuan and Schneider, Benjamin and Lu, Yi and Yue, Xiang and Chen, Wenhu},
|
| | journal={arXiv preprint arXiv:2504.00824},
|
| | year={2025}
|
| | }
|
| | ``` |
