Nicholas Moratelli

According to our database, Nicholas Moratelli authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

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

Causal Graphical Models for Vision-Language Compositional Understanding.

Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto, Lorenzo Baraldi, Rita Cucchiara

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Are Learnable Prompts the Right Way of Prompting? Adapting Vision-and-Language Models with Memory Optimization.

Nicholas Moratelli, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

IEEE Intell. Syst., 2024

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis.

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

CoRR, 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

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training.

Sara Sarto, Nicholas Moratelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

CoRR, 2024

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

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

Fluent and Accurate Image Captioning with a Self-trained Reward Model.

Nicholas Moratelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

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

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis.

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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates.

Nicholas Moratelli, Manuele Barraco, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Sensors, February, 2023