Open Internet by MindsNet

Verifier Tax in Tool-Using LLM Agents

The Verifier Tax refers to the horizon-dependent safety–success tradeoff in tool-using LLM agents, where verification can reduce unsafe success but also decrease task completion as the task horizon increases. This creates a challenge in balancing safety and task completion. The issue arises from the current limitations in evaluating agent performance, which can be misleading if task completion is the sole metric. A more nuanced approach is needed to classify outcomes into safe success, unsafe success, and failure.

Computing & Technology, Computer Science, Machine Learning