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When Users Change Their Minds: Measuring and Repairing Intent Drift in LLM Agents
LLM agents often operate over multi-turn interactions in which user intent changes before execution. We study intent drift: the failure mode in which superseded parts of the user's intent continue to influence the final answer or tool action. We introduce IntentFlux, an executable benchmark that con
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