contrastive-activation-addition-395317b1·1 events·first seen Aliases: Contrastive Activation Addition
Researchers investigate four intervention strategies for reducing cross-lingual factual inconsistency in LLMs, where models give different factual answers depending solely on prompt language. Testing on Gemma 3 12B Instruct, they compare persona prompting, Contrastive Activation Addition (CAA), and DPO-based adapters, finding that simple persona prompting outperforms more invasive methods in efficacy, safety, and generalization. The paper also introduces a novel culturally-rooted generalization benchmark to assess whether factual interventions transfer beyond the training distribution. Results suggest cross-lingual inconsistency is partly a selection problem addressable without weight modification.