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cs.LG2026
Human Interventions as Labels: Localizing, Steering, and (Sometimes) Editing the Computations Behind LLM Agent Failures
Cesare Zavattari, Alessandro Tommasi, Giuseppe Prencipe
When an LLM agent misbehaves, a human steps in, and that intervention is usually discarded or replayed as training data. We treat it instead as a measurement: a label pointing at t…
cs.AI2026
One Human, Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated Confidence
Cesare Zavattari, Alessandro Tommasi, Giuseppe Prencipe
A single human must audit LLM agents under a budget of audits per round, guided by self-reported confidence that may be adversarially miscalibrated and by correlated…