Davide Caffagni

According to our database, Davide Caffagni authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models.

Davide Caffagni, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Pier Luigi Dovesi, Shaghayegh Roohi, Mark Granroth-Wilding, Rita Cucchiara

CoRR, December, 2025

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering.

Alberto Compagnoni, Marco Morini, Sara Sarto, Federico Cocchi, Davide Caffagni, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

CoRR, November, 2025

Recurrence Meets Transformers for Universal Multimodal Retrieval.

Davide Caffagni, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

CoRR, September, 2025

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization.

Alberto Compagnoni, Davide Caffagni, Nicholas Moratelli, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

CoRR, August, 2025

Augmenting and mixing Transformers with synthetic data for image captioning.

Davide Caffagni, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Image Vis. Comput., 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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Generating Synthetic Data with Large Language Models for Low-Resource Sentence Retrieval.

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

Proceedings of the Linking Theory and Practice of Digital Libraries, 2025

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval.

Davide Caffagni, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

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

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

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

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization.

Nicholas Moratelli, Davide Caffagni, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the 35th British Machine Vision Conference, 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

SynthCap: Augmenting Transformers with Synthetic Data for Image Captioning.

Davide Caffagni, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

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