Johns Hopkins University

Items

1. Jun 22

   SelfCompact compacts agent context on demand

   A model-invoked compaction tool fires only when a sub-task resolves or a trajectory converges, matching fixed-interval summarization while improving math accuracy by up to 18.1 points at 30-70% lower per-question cost, with no fine-tuning.