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Confidence gating in co-decoding can lead to a substantial 12.6% increase in secure code generation, revealing the critical role of expert model confidence in safety.
High-temperature sampling can enhance diversity in LLM outputs without sacrificing refusal behavior, achieving up to 99% retention of safety responses.
