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README.md
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- **Analysis of Real-World SE Workloads**: Identify common patterns and challenges in user-submitted tasks
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- **Multi-Round Evaluation Metrics**: Develop specialized metrics for assessing model adaptation over successive turns
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- **Advanced Context Compression**: Integrate techniques like [LongRope](https://github.com/microsoft/LongRoPE) and [SelfExtend](https://github.com/datamllab/LongLM) to manage long-term memory
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## Contact
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- **Analysis of Real-World SE Workloads**: Identify common patterns and challenges in user-submitted tasks
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- **Multi-Round Evaluation Metrics**: Develop specialized metrics for assessing model adaptation over successive turns
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- **Expanded FM Coverage**: Include multimodal and domain-specific foundation models
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- **Advanced Context Compression**: Integrate techniques like [LongRope](https://github.com/microsoft/LongRoPE) and [SelfExtend](https://github.com/datamllab/LongLM) to manage long-term memory in multi-round conversations
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## Contact
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