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Modeling Transformers as complex networks to analyze learning dynamics
Elisabetta Rocchetti
The process by which Large Language Models (LLMs) acquire complex capabilities during training remains a key open question in mechanistic interpretability. This project investigate…
How Instruction-Tuning Imparts Length Control: A Cross-Lingual Mechanistic Analysis
Elisabetta Rocchetti, Alfio Ferrara
Adhering to explicit length constraints, such as generating text with a precise word count, remains a significant challenge for Large Language Models (LLMs). This study aims at inv…
What's Taboo for You? - An Empirical Evaluation of LLMs Behavior Toward Sensitive Content
Alfio Ferrara, Sergio Picascia, Laura Pinnavaia +3
Proprietary Large Language Models (LLMs) have shown tendencies toward politeness, formality, and implicit content moderation. While previous research has primarily focused on expli…
The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Alfio Ferrara, Sergio Picascia, Elisabetta Rocchetti
Text-to-image diffusion models have demonstrated remarkable capabilities in generating artistic content by learning from billions of images, including popular artworks. However, th…