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News/Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes
arxiv
PublishedOctober 19, 2026 at 4:00 AM

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

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arXiv:2606.27210v2 Announce Type: replace Abstract: 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, each paired with an intent descri

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