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arxiv_cs_cl · Jun 25, 2026 · paper

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Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes

arxiv.orgJun 25, 2026
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In brief

We argue that safety classifiers should model user intent as an explicit signal between the prompt and the final label. To study this, we introduce AIMS, a human-annotated dataset of 1,724 difficult safety prompts, ea...

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Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes

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