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#natural language process... Preprint Oct 2026

OverAct: Measuring and Mitigating Proactive Over-Authorization in LLM Tool-Calling Agents

LLM agents with tool-calling capabilities can access external services and private user data, but they may retrieve more information than a user's request explicitly requires. We study this behavior in structured tool-calling agents and term it proactive over-authorization. This setting differs from filesystem-level co...

Tao-Lin Zhang, Jiu-Heng Wan, Han-Yu Wang et al. · 0 citations
#natural language process... Preprint Oct 2026

How the Audit Rule Shapes Faithful Factor Explanations in LLMs

Large language models are often asked which input factors influenced their outputs. For structured inputs, such reports can be checked by counterfactual perturbation, but each factor must be queried multiple times to estimate its effect, so verification is usually budget-limited. We study how this limited-budget settin...

Tao-Lin Zhang, Han-Yu Wang, Jiu-Heng Wan et al. · 0 citations

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