Steering | Gabriele Sarti

Steering

From Insights to Impact: Actionable Interpretability for Neural Machine Translation

This dissertation bridges the gap between scientific insights into how language models work and practical benefits for users of these systems, paving the way for better human-AI interaction practices for professional translators and everyday users worldwide.

Steering Large Language Models for Machine Translation Personalization

We evaluate prompting and steering based methods for machine translation personalization in the literary domain.