Self-Compacting Language Model Agents
Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaffolds mitigate it with fixed-interval compaction triggered at a token threshold. Such triggers pay no heed to trajectory structure, risking discard of partial results mid-derivation or mid-search. We propose SELFCOMPACT, a scaffold that...
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Qué ocurrió
Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaffolds mitigate it with fixed-interval compaction triggered at a token threshold. Such triggers pay no heed to trajectory structure, risking discard of partial results mid-derivation or mid-search. We propose SELFCOMPACT, a scaffold that...
Por que importa
The development may change operating conditions or market expectations around AI. Further confirmation and measurable outcomes matter.
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1 articulos · 1 informe original · 1 independientes
- Apple Machine Learning ResearchFuente primaria · Respalda · EN · 100%Self-Compacting Language Model Agents ↗
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- Self-Compacting Language Model Agents Observado
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- Primera publicación
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