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‎README.md‎

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‎data/papers_data_analysis.yaml‎

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month: 2025-12
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links:
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arxiv: https://arxiv.org/abs/2512.10218
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- short_name: Test Overfitting on SWE-bench
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title: Investigating Test Overfitting on SWE-bench
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authors: Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar, Martin Hirzel
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year: '2025'
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venue: arXiv preprint arXiv:2511.16858
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month: 2025-11
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links:
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arxiv: https://arxiv.org/abs/2511.16858
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- short_name: Rigorous agentic benchmarks
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title: Establishing Best Practices for Building Rigorous Agentic Benchmarks
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authors: Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha

‎data/papers_data_collection.yaml‎

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links:
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arxiv: https://arxiv.org/abs/2505.20411v2
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openreview: https://openreview.net/forum?id=nMpJoVmRy1
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- short_name: RepoLaunch
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title: SWE-bench Goes Live!
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authors: Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie,
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Junhao Wang et al.
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year: '2025'
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venue: The Thirty-ninth Annual Conference on Neural Information Processing Systems
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Datasets and Benchmarks Track 2025
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month: 2025-05
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links:
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arxiv: https://arxiv.org/abs/2505.23419v2
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openreview: https://openreview.net/forum?id=OGWkr7gXka

‎data/papers_evaluation_datasets.yaml‎

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github: https://github.com/AweAI-Team/BeyondSWE
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huggingface: https://huggingface.co/datasets/AweAI-Team/BeyondSWE
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website: https://aweai-team.github.io/BeyondSWE/
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- short_name: SWE-CI
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title: 'SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous
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Integration'
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authors: Jialong Chen, Xander Xu, Hu Wei, Chuan Chen, Bing Zhao
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year: '2026'
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venue: arXiv preprint arXiv:2603.03823
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month: 2026-03
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links:
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arxiv: https://arxiv.org/abs/2603.03823
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github: https://github.com/SKYLENAGE-AI/SWE-CI
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huggingface: https://huggingface.co/datasets/skylenage/SWE-CI
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- short_name: SWE-Atlas
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title: SWE-Atlas
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authors: Scale AI
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year: '2026'
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venue: '-'
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month: 2026-03
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links:
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website: https://labs.scale.com/leaderboard/sweatlas-qna
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- short_name: SWE Context Bench
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title: 'SWE Context Bench: A Benchmark for Context Learning in Coding'
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authors: Jared Zhu, Minhao Hu, Junde Wu

‎data/papers_methods_analysis.yaml‎

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- short_name: ContextBench
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title: 'ContextBench: A Benchmark for Context Retrieval in Coding Agents'
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authors: Han Li, Letian Zhu, Bohan Zhang, Rili Feng, Jiaming Wang, Yue Pan, Earl
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T. Barr, Federica Sarro, Zhaoyang Chu, He Ye
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year: '2026'
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venue: arXiv preprint arXiv:2602.05892
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month: 2026-02
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links:
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arxiv: https://arxiv.org/abs/2602.05892
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github: https://github.com/EuniAI/ContextBench
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huggingface: https://huggingface.co/datasets/Contextbench/ContextBench
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website: https://contextbench.github.io/
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- short_name: SWEnergy
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title: 'SWEnergy: An Empirical Study on Energy Efficiency in Agentic Issue Resolution
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Frameworks with SLMs'

‎docs/admin/data.json‎

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{
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"generated": "2026-03-05",
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"generated": "2026-03-09",
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"stats": {
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"total": 198,
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"data": 50,
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"total": 201,
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"data": 51,
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"methods": 128,
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"analysis": 21
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"analysis": 23
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},
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"papers": [
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{
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"id": 201,
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"short_name": "SWE-Atlas",
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"title": "SWE-Atlas",
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"authors": "Scale AI",
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"venue": "-",
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"month": "2026-03",
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"category": "evaluation_datasets",
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"links": {
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"website": "https://labs.scale.com/leaderboard/sweatlas-qna"
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}
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},
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{
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"id": 200,
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"short_name": "SWE-CI",
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"title": "SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration",
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"authors": "Jialong Chen, Xander Xu, Hu Wei, Chuan Chen, Bing Zhao",
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"venue": "arXiv preprint arXiv:2603.03823",
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"month": "2026-03",
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"category": "evaluation_datasets",
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"links": {
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"arxiv": "https://arxiv.org/abs/2603.03823",
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"github": "https://github.com/SKYLENAGE-AI/SWE-CI",
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"huggingface": "https://huggingface.co/datasets/skylenage/SWE-CI"
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}
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},
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{
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"id": 196,
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"short_name": "BeyondSWE",
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"arxiv": "https://arxiv.org/abs/2603.01327"
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}
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},
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{
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"id": 202,
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"short_name": "ContextBench",
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"title": "ContextBench: A Benchmark for Context Retrieval in Coding Agents",
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"authors": "Han Li, Letian Zhu, Bohan Zhang, Rili Feng, Jiaming Wang, Yue Pan, Earl T. Barr, Federica Sarro, Zhaoyang Chu, He Ye",
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"venue": "arXiv preprint arXiv:2602.05892",
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"month": "2026-02",
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"category": "methods_analysis",
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"links": {
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"arxiv": "https://arxiv.org/abs/2602.05892",
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"github": "https://github.com/EuniAI/ContextBench",
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"huggingface": "https://huggingface.co/datasets/Contextbench/ContextBench",
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"website": "https://contextbench.github.io/"
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}
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},
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{
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"id": 199,
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"short_name": "SWE-Bench Mobile",
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"arxiv": "https://arxiv.org/abs/2512.10218"
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}
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},
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{
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"id": 203,
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"short_name": "Test Overfitting on SWE-bench",
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"title": "Investigating Test Overfitting on SWE-bench",
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"authors": "Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar, Martin Hirzel",
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"venue": "arXiv preprint arXiv:2511.16858",
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"month": "2025-11",
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"category": "data_analysis",
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"links": {
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"arxiv": "https://arxiv.org/abs/2511.16858"
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}
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},
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{
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"id": 173,
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"short_name": "InfCode",
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"arxiv": "https://arxiv.org/abs/2505.23932"
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}
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},
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{
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"id": 11,
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"short_name": "RepoLaunch",
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"title": "SWE-bench Goes Live!",
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"authors": "Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, Junhao Wang et al.",
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"venue": "The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track 2025",
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"month": "2025-05",
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"category": "data_collection",
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"links": {
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"arxiv": "https://arxiv.org/abs/2505.23419v2",
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"openreview": "https://openreview.net/forum?id=OGWkr7gXka"
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}
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},
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{
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"id": 10,
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"short_name": "SWE-rebench",

‎docs/index.md‎

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<a href="https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/graphs/contributors" target="_blank">
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<img src="https://img.shields.io/github/contributors/DeepSoftwareAnalytics/Awesome-Issue-Resolution?style=for-the-badge&color=green&logo=github" alt="Contributors">
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</a>
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<img src="https://img.shields.io/badge/papers-198-green?style=for-the-badge&logo=googlescholar&logoColor=white" alt="Papers Count">
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<img src="https://img.shields.io/badge/papers-201-green?style=for-the-badge&logo=googlescholar&logoColor=white" alt="Papers Count">
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</div>
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<!-- Interactive Exploration Badges -->

‎docs/news.md‎

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# News
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> If you would like your work to be included in this repository, please cite [![Cite our survey](https://img.shields.io/badge/📖_Cite-our_survey-blue?style=flat)](https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/cite/) our survey. We monitor citations and will update the repository promptly.
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### Recent Papers
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<!-- START_RECENT_PAPERS -->
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- **BeyondSWE**: BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2603.03194)
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- **BeyondSWE**: BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2603.03194) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/AweAI-Team/BeyondSWE) [![HuggingFace](https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&logoColor=black)](https://huggingface.co/datasets/AweAI-Team/BeyondSWE) [![Website](https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&logoColor=white)](https://aweai-team.github.io/BeyondSWE/)
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- **SWE-Adept**: SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2603.01327)
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- **Closing the Loop**: Closing the Loop: Universal Repository Representation with RPG-Encoder [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.02084)
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- **Rust-SWE-bench**: Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based Agents [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.22764)
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- **Scale-SWE**: Immersion in the GitHub Universe: Scaling Coding Agents to Mastery [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.09892)
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- **SWE-Atlas**: SWE-Atlas [![Website](https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&logoColor=white)](https://labs.scale.com/leaderboard/sweatlas-qna)
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- **SWE-CI**: SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2603.03823) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/SKYLENAGE-AI/SWE-CI) [![HuggingFace](https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&logoColor=black)](https://huggingface.co/datasets/skylenage/SWE-CI)
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- **Closing the Loop**: Closing the Loop: Universal Repository Representation with RPG-Encoder [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.02084) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/microsoft/RPG-ZeroRepo) [![Website](https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&logoColor=white)](https://ayanami2003.github.io/RPG-Encoder/)
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- **DockSmith**: DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.00592) [![HuggingFace](https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&logoColor=black)](https://huggingface.co/collections/8sj7df9k8m5x8/docksmith)
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- **Rust-SWE-bench**: Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based Agents [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.22764) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/GhabiX/Rust-SWE-Bench)
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- **Scale-SWE**: Immersion in the GitHub Universe: Scaling Coding Agents to Mastery [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.09892) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/AweAI-Team/ScaleSWE) [![HuggingFace](https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&logoColor=black)](https://huggingface.co/collections/AweAI-Team/scale-swe)
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- **SWE Context Bench**: SWE Context Bench: A Benchmark for Context Learning in Coding [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/pdf/2602.08316)
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- **SWE-ABS**: SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2603.00520)
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- **SWE-Bench Mobile**: SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications? [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.09540)
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- **SWE-Bench Mobile**: SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications? [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.09540) [![Website](https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&logoColor=white)](https://swebenchmobile.com/)
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- **SWE-Hub**: SWE-Hub: A Unified Production System for Scalable, Executable Software Engineering Tasks [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2603.00575)
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- **SWE-Master**: SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.03411)
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- **SWE-MiniSandbox**: SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.11210v1)
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- **SWE-Master**: SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.03411) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/RUCAIBox/SWE-Master)
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- **SWE-MiniSandbox**: SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.11210v1) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](http://github.com/lblankl/SWE-MiniSandbox)
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- **SWE-Protégé**: SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.22124)
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- **SWE-Universe**: SWE-Universe: Scale Real-World Verifiable Environments to Millions [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://www.arxiv.org/abs/2602.02361)
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- **SWE-World**: SWE-World: Building Software Engineering Agents in Docker-Free Environments [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.03419)
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- **SWE-World**: SWE-World: Building Software Engineering Agents in Docker-Free Environments [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.03419) [![GitHub](https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white)](https://github.com/RUCAIBox/SWE-World)
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- **SWE-rebench V2**: SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale [![arXiv](https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2602.23866)
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<!-- END_RECENT_PAPERS -->
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### Recent Updates
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- **Survey Update (2026-02)**: Added 21 new papers covering the latest advances in LLM-based issue resolution!
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- **Survey Update (2026-03)**: Our repository now covers 200+ papers on LLM-based GitHub issue resolution!
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- **Survey Update (2026-03)**: Added 21 new papers covering the latest advances in LLM-based issue resolution!
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- **Survey Launch (2026-01)**: Our survey paper is now publicly available on arXiv: [https://arxiv.org/abs/2601.11655](https://arxiv.org/abs/2601.11655). It covers 175 papers and resources on LLM-based GitHub issue resolution, with continuously updated datasets and leaderboards!

‎scripts/update_news.py‎

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"month": p.month or "",
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"arxiv_link": p.arxiv_link or "",
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"github_link": p.github_link or "",
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"website_link": p.website_link or "",
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"huggingface_link": p.huggingface_link or "",
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"openreview_link": p.openreview_link or "",
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})
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session.close()
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return result
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for p in sorted_papers:
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short = p["short_name"]
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title = p["title"]
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link = p["arxiv_link"] or ""
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badge = make_badge(link)
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name_part = f"**{short}**" if short else f"**{title}**"
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lines.append(f"- {name_part}: {title} {badge}".rstrip())
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badges = _all_badges(p)
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lines.append(f"- {name_part}: {title}{(' ' + badges) if badges else ''}".rstrip())
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return "\n".join(lines)
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BADGE_OPENREVIEW = "https://img.shields.io/badge/OpenReview-paper-8C1B13?logo=openreview&logoColor=white"
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BADGE_ACL = "https://img.shields.io/badge/ACL-paper-0077B5?logo=googlescholar&logoColor=white"
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BADGE_DOI = "https://img.shields.io/badge/DOI-paper-00599C?logo=doi&logoColor=white"
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BADGE_WEBSITE = "https://img.shields.io/badge/Website-paper-5B9BD5?logo=googlechrome&logoColor=white"
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BADGE_GITHUB = "https://img.shields.io/badge/GitHub-code-181717?logo=github&logoColor=white"
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BADGE_HF = "https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&logoColor=black"
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BADGE_WEBSITE = "https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&logoColor=white"
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def make_badge(link: str) -> str:
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return f"[![Website]({BADGE_WEBSITE})]({link})"
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def _all_badges(p: dict) -> str:
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"""Return all available link badges for a paper, space-separated."""
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parts = []
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if p.get("arxiv_link"):
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parts.append(f"[![arXiv]({BADGE_ARXIV})]({p['arxiv_link']})")
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if p.get("openreview_link"):
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parts.append(f"[![OpenReview]({BADGE_OPENREVIEW})]({p['openreview_link']})")
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if p.get("github_link"):
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parts.append(f"[![GitHub]({BADGE_GITHUB})]({p['github_link']})")
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if p.get("huggingface_link"):
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parts.append(f"[![HuggingFace]({BADGE_HF})]({p['huggingface_link']})")
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if p.get("website_link"):
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parts.append(f"[![Website]({BADGE_WEBSITE})]({p['website_link']})")
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return " ".join(parts)
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def replace_block(text: str, start_marker: str, end_marker: str, new_content: str) -> str:
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"""Replace content between start_marker and end_marker (exclusive)."""
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pattern = re.compile(

‎site/index.html‎

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<a href="https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/graphs/contributors" target="_blank">
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