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Look Before You Leap: Pre-Action Verification for LLM Agents

Althoubi, Asaad
arXiv (All) · Papers
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machine-learningmultiagent-systems
An LLM agent acts on the world by emitting actions: shell commands to run, edits to apply. A wrong action does not always fail loudly; it can fail silently, producing a plausible but incorrect effect that raises no error. We argue that a cheap deterministic check, run before an action takes effect,
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