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#machine learning Preprint Aug 2026

TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored Supervision

This method learns permanent handoff policies from accumulated trajectory evidence and Teacher-Annotated Censored Intervention Times (TACIT) and represents each annotation as an interval-censored observation on a cumulative-risk scale and achieves the highest held-out success among learned policies on both ALFWorld and DABench.

Ji'an Lei, Jian-Hao Huang · 0 citations