LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models (2024.emnlp-main)
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| Challenge: | Existing model-based guardrails have not been designed for resource-constrained computational portable devices such as mobile phones. |
| Approach: | They propose a parameter-efficient guardrail adaptation method that relies on knowledge sharing between LLMs and guardrail models to adapt to content moderation tasks. |
| Outcome: | The proposed method outperforms existing guardrail methods with lower parameter overhead and higher accuracy on the generative task. |
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