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

Jeremias Ferrao, Niclas Müller-Hof, Iustin Sîrbu +2

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…