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README.md

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[**📖 Documentation Website**](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/) | [**📄 Full Paper**](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/paper/) | [**📋 Tables & Resources**](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/tables/)
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**🎙️ Interactive Exploration:**
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[![NotebookLM](https://img.shields.io/badge/🎧_NotebookLM-Listen_&_Explore-4285F4?style=for-the-badge&logo=google&logoColor=white)](https://notebooklm.google.com/notebook/2b70100e-9d5a-46db-96f5-6ccb7b53890a)
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[![Discord](https://img.shields.io/badge/💬_Discord-Join_Discussion-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/3nF2EYTD)
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[![Issues](https://img.shields.io/badge/💡_GitHub-Open_Issue-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/issues)
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<img src="docs/images/awesome-issue-resolution.png" alt="Awesome Issue Resolution" width="60%">
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</div>
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- 🤝 **[Contributing](#-contributing)**: How to contribute to this project
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<!-- END EXPLORE -->
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**🎙️ Interactive Exploration:**
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<div align="center">
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[![NotebookLM](https://img.shields.io/badge/🎧_NotebookLM-Listen_&_Explore-4285F4?style=for-the-badge&logo=google&logoColor=white)](https://notebooklm.google.com/notebook/2b70100e-9d5a-46db-96f5-6ccb7b53890a)
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[![Discord](https://img.shields.io/badge/💬_Discord-Join_Discussion-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/3nF2EYTD)
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[![Issues](https://img.shields.io/badge/💡_GitHub-Open_Issue-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/issues)
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</div>
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<!-- START PAPERS -->
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### 🎯 Training Datasets
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*Datasets for training issue resolution agents*
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*Datasets for training issue resolution systems*
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- **SWE-bench-extra**: SWE-bench: Can Language Models Resolve Real-world Github Issues? (2024)
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- **Multi-SWE-RL**: Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving (2025) [![OpenReview](https://img.shields.io/badge/OpenReview-paper-8C1B13?logo=openreview&logoColor=white)](https://openreview.net/forum?id=MhBZzkz4h9)
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### 📚 Supervised Fine-Tuning (SFT)
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*Models trained via supervised learning*
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*Models trained via supervised fine-tuning*
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- **Lingma SWE-GPT**: SWE-GPT: A Process-Centric Language Model for Automated Software Improvement (2025)
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- **ReSAT**: Repository Structure-Aware Training Makes SLMs Better Issue Resolver (2024) [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2412.19031)

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