41 citations · 71 across the 14 of their papers we have counts for
5 papers · 1 filter
Visual Instruction Tuning Aligns Modalities through Abstraction
Luis Palacios, Lorenzo Basile, Diego Doimo +1
Visual instruction tuning effectively adapts a pre-trained Large Language Model (LLM) to process image information alongside text. Yet, it remains unclear how visual features are e…
Head Pursuit: Probing Attention Specialization in Multimodal Transformers
Lorenzo Basile, Valentino Maiorca, Diego Doimo +2
Language and vision-language models have shown impressive performance across a wide range of tasks, but their internal mechanisms remain only partly understood. In this work, we st…
When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
Francesco Ortu, Zhijing Jin, Diego Doimo +1
Vision-language models (VLMs) increasingly combine visual and textual information to perform complex tasks. However, conflicts between their internal knowledge and external visual…
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
Alessandro Pietro Serra, Francesco Ortu, Emanuele Panizon +5
Recent advances in multimodal training have significantly improved the integration of image understanding and generation within a unified model. This study investigates how vision-…
Hierarchical nucleation in deep neural networks
Diego Doimo, Aldo Glielmo, Alessio Ansuini +1
Deep convolutional networks (DCNs) learn meaningful representations where data that share the same abstract characteristics are positioned closer and closer. Understanding these re…