Quad-State Safety Evaluation of Open-Weight Large Language Models on Non-Canonical Inputs

Standard safety evaluations of large language models assess harmful requests written in canonical plain text, while models in real-world deployment routinely receive inputs containing emojis, altered spellings, encoded strings, and character-level variations.