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AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents
The transition from human-centric assistance to Autonomous Software Engineering (ASE) agents has enabled the resolution of complex real-world SE tasks. However, the trial-and-error nature of these agents generates lengthy interaction trajectories, creating severe bottlenecks in terms of context wind
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