Apple proposes SelfCompact scaffold for self-compacting language model agents
Apple researchers propose SELFCOMPACT, a scaffold letting a language model decide when and how to compact its own agent traces. It pairs a compaction tool the model invokes to summarize accumulated content with inference-time elements, replacing fixed-interval token-threshold triggers that ignore trajectory structure and risk discarding partial results mid-derivation or mid-search.
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