We evaluate prompting and steering based methods for machine translation personalization in the literary domain.
We propose Dynamic Activation Composition, an adaptive approach for multi-property activation steering of LLMs
We introduce Retrieval and Attribute-Marking enhanced Prompting (RAMP) to perform attribute-controlled MT with multilingual LLMs.