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LLMs struggle to recognize when they lack sufficient information to answer a question, but a surprisingly simple finetuning approach can teach them to abstain or ask for clarification, dramatically reducing hallucinations.
AI-generated text detectors that seem perfect in the lab fall apart in the real world, with no single method generalizing across domains or even different LLMs.
