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b857966
add section for leaderboard
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README.md
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- **[Data Pipeline](https://github.com/guestrin-lab/deepscholar-bench/tree/main/data_pipeline)**: Tools for collecting similar datasets
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- **[Evaluation Framework](https://github.com/guestrin-lab/deepscholar-bench/tree/main/eval)**: Framework for evaluating research generation systems
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## 🤝 Contributing
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We welcome contributions to improve this dataset! Please see the [main repository](https://github.com/guestrin-lab/deepscholar-bench) for contribution guidelines.
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- **[Data Pipeline](https://github.com/guestrin-lab/deepscholar-bench/tree/main/data_pipeline)**: Tools for collecting similar datasets
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- **[Evaluation Framework](https://github.com/guestrin-lab/deepscholar-bench/tree/main/eval)**: Framework for evaluating research generation systems
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## 🏆 Leaderboard
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We maintain a leaderboard to track the performance of various models on the DeepScholarBench evaluation tasks:
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- **[Official Leaderboard](https://guestrin-lab.github.io/deepscholar-leaderboard/leaderboard/deepscholar_bench_leaderboard.html)**: Live rankings of model performance
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- **Evaluation Metrics**: Models are evaluated on relevance, coverage, and citation accuracy as described in the [evaluation guide](https://github.com/guestrin-lab/deepscholar-bench/tree/main/eval)
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- **Submission Process**: Submit your results via the [Google Form](https://docs.google.com/forms/d/e/1FAIpQLSeug4igDHhVUU3XnrUSeMVRUJFKlHP28i8fcBAu_LHCkqdV1g/viewform)
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Want to see your model on the leaderboard? Follow our [evaluation guide](https://github.com/guestrin-lab/deepscholar-bench/tree/main/eval) to run the benchmark and submit your results!
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## 🤝 Contributing
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We welcome contributions to improve this dataset! Please see the [main repository](https://github.com/guestrin-lab/deepscholar-bench) for contribution guidelines.
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