Low-agreeableness persona conditioning in fine-tuning data reduces jailbreak susceptibility and harmful outputs in warm LLMs while preserving conversational warmth.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , month = jul, year =
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Low-Agreeableness Persona Conditioning for Safe LLM Fine-Tuning
Low-agreeableness persona conditioning in fine-tuning data reduces jailbreak susceptibility and harmful outputs in warm LLMs while preserving conversational warmth.