AppleAnalysisAI AgentsOctober 12, 2026

Apple researchers propose SelfCompact for agent context compaction

Read original source →machinelearning.apple.com

SelfCompact lets the model itself decide when to summarize its context via a compaction tool plus a lightweight rubric, needing no fine-tuning. Across six benchmarks and seven models it beat a no-summarization baseline by up to 18.1 points on math and 5-9 points on agentic search at 30-70% lower per-question cost.

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