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Intent drift in LLM agents: measuring and repairing it

AI agents
Source:Hugging Face
New research paper: when a user changes their mind during a multi-turn conversation, superseded parts of the intent keep influencing the final answer (intent drift). The paper introduces IntentFlux, an executable Benchmark that converts verifiable tasks into dialogues with controlled intent changes, and proposes methods to detect and repair the failure mode.
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