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Johns Hopkins University
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SelfCompact reveals that language models can autonomously manage context decay, achieving up to 18.1 points improvement in performance while cutting token costs by 30-70%.
Agents struggle to match human performance in long-horizon tasks, revealing critical gaps in their learning capabilities during deployment.