PT-ALIGN uses self-generated positive and toxic sample pairs with MLE plus fine-grained token-level unlikelihood training to improve LLM safety with minimal human annotation.
The ai alignment problem: why it is hard, and where to start,
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Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions
PT-ALIGN uses self-generated positive and toxic sample pairs with MLE plus fine-grained token-level unlikelihood training to improve LLM safety with minimal human annotation.