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AgentDecept: Benchmarking Deceptive Behavior in Tool-Using LLM Agents under Pressure.

arXiv:2610.39377v1 Announce Type: new Abstract: LLM agents increasingly carry out multi-turn tasks across everyday applications, yet users often see only the agent's report rather than the observations, API calls, and state changes behind it. Existing deceptio

arXiv cs.AIResearch source·