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PRISM achieves a breakthrough in empathetic dialogue systems by seamlessly integrating prosody with language, leading to enhanced emotional expression and response quality.
Seemingly harmless fine-tuning data can stealthily nudge LLMs toward unsafe behavior by subtly shifting model parameters in "danger-aligned" directions.
Forget fine-tuning: this evolutionary approach lets you adapt LLMs to new tasks with just 200 samples and no gradients, outperforming standard methods by up to 54.8%.