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cs.CL2024
A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steering
Daniel Scalena, Elisabetta Fersini, Malvina Nissim
Adapting models to a language that was only partially present in the pre-training data requires fine-tuning, which is expensive in terms of both data and computational resources. A…
cs.CL2024★ 1 cited
Multi-property Steering of Large Language Models with Dynamic Activation Composition
Daniel Scalena, Gabriele Sarti, Malvina Nissim
Activation steering methods were shown to be effective in conditioning language model generation by additively intervening over models' intermediate representations. However, the e…