Large Language Models | Gabriele Sarti

Large Language Models

Steering Large Language Models for Machine Translation Personalization

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

Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses

Oral presentation at CLiC-it 2024

Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses

We evaluate the rebus-solving capabilities of large language models on a new Italian dataset.

Multi-property Steering of Large Language Models with Dynamic Activation Composition

We propose Dynamic Activation Composition, an adaptive approach for multi-property activation steering of LLMs

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation

We introduce Retrieval and Attribute-Marking enhanced Prompting (RAMP) to perform attribute-controlled MT with multilingual LLMs.