✨SWE-RM: Execution-free Feedback For Software Engineering Agents
📝 Summary:
This paper introduces SWE-RM, a robust, execution-free reward model for software engineering agents. It overcomes limitations of execution-based feedback, improving coding agent performance in both test-time scaling and reinforcement learning. SWE-RM achieves new state-of-the-art results for open...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21919
• PDF: https://arxiv.org/pdf/2512.21919
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#SoftwareEngineering #AI #ReinforcementLearning #CodingAgents #RewardModels
📝 Summary:
This paper introduces SWE-RM, a robust, execution-free reward model for software engineering agents. It overcomes limitations of execution-based feedback, improving coding agent performance in both test-time scaling and reinforcement learning. SWE-RM achieves new state-of-the-art results for open...
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21919
• PDF: https://arxiv.org/pdf/2512.21919
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#SoftwareEngineering #AI #ReinforcementLearning #CodingAgents #RewardModels
❤1