SHARD: Safe and Helpful Alignment via Self-Reframing Distillation

arXiv:2606.15517v1 Announce Type: new Abstract: Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user's legitimate informational needs that can be answered safely. We introduce SHARD, a self-reframing distillation method to improve safe-helpfulness. It first rewrites sensitive prompts to surface benign intent using philosophical guidelines, then reframes its original responses into safe, more helpful ones, and finally fine-tunes the model on its self-reframed responses. Across DNA and the English s

Source: arXiv cs.CL — read the full report at the original publisher.

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