Federico Cocchi

According to our database, Federico Cocchi authored at least 15 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors.

Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Lorenzo Baraldi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, Battista Biggio

CoRR, June, 2025

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning.

Federico Cocchi, Nicholas Moratelli, Davide Caffagni, Sara Sarto, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

CoRR, March, 2025

Benchmarking BERT-based Models for Latin: A Case Study on Biblical References in Ancient Christian Literature.

Davide Caffagni, Federico Cocchi, Anna Mambelli, Fabio Tutrone, Marco Zanella, Marcella Cornia, Rita Cucchiara

Proceedings of the 21st Conference on Information and Research science Connecting to Digital and Library science, 2025

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering.

Federico Cocchi, Nicholas Moratelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering.

Federico Cocchi, Nicholas Moratelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

CoRR, 2024

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities.

Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara

CoRR, 2024

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs.

Davide Caffagni, Federico Cocchi, Nicholas Moratelli, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

CoRR, 2024

The (R)Evolution of Multimodal Large Language Models: A Survey.

Davide Caffagni, Federico Cocchi, Luca Barsellotti, Nicholas Moratelli, Sara Sarto, Lorenzo Baraldi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

CoRR, 2024

Adapt to Scarcity: Few-Shot Deepfake Detection via Low-Rank Adaptation.

Silvia Cappelletti, Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models.

Samuele Poppi, Tobia Poppi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the Computer Vision - ECCV 2024, 2024

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities.

Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara

Proceedings of the Computer Vision - ECCV 2024, 2024

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs.

Davide Caffagni, Federico Cocchi, Nicholas Moratelli, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Revolution of Multimodal Large Language Models: A Survey.

Davide Caffagni, Federico Cocchi, Luca Barsellotti, Nicholas Moratelli, Sara Sarto, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation.

Samuele Poppi, Tobia Poppi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

CoRR, 2023

Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis.

Federico Cocchi, Lorenzo Baraldi, Samuele Poppi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023