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BLINDSPOT: A Benchmark for Safety and Refusal Calibration in Long-Horizon Tool-Using Agents

Asif, Sadia et al.
arXiv (OAI Expanded) · Papers
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and-sciencecomputation-and-languagecomputational-engineeringfinancemachine-learningmultiagent-systems
Large language model (LLM) agents increasingly operate over long-horizon interactions involving tool use, persistent state, evolving authorization, and external environment feedback. In such settings, safety failures may emerge only after multiple turns, yet existing evaluations often reduce agent b
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