Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents
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arXiv:2608.24087v1 Announce Type: cross Abstract: Current LLM agent systems decide delegation before reasoning begins (a router picks a model) or after a response is complete (a verifier scores it and may retry). We study a third regime: an agent that recognises, during its own reasoning, that it i…
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- 2026-08-26 04:00 · arXiv stat.ML
Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents
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