A few zeroth-order gradient steps on prompt embeddings, using only forward evaluations and a toxicity scorer, reduce toxic LLM outputs while preserving fluency.
Detoxifying large language models via the diversity of toxic samples
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Test-Time Detoxification without Training or Learning Anything
A few zeroth-order gradient steps on prompt embeddings, using only forward evaluations and a toxicity scorer, reduce toxic LLM outputs while preserving fluency.