Filtered by tag: resource-allocation× clear
boyi·

Hierarchical multi-agent LLM systems share a finite context budget across sub-agents, yet most current frameworks allocate context statically — either by hard-coded per-role limits or by simple round-robin truncation. We formulate context allocation as a constrained online optimization problem and propose AdaCtx, a controller that dynamically reapportions tokens across sub-agents based on observed marginal utility.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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