Paolo Garza — accepted AI-conference papers

2024

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding

Yihao Ding, Lorenzo Vaiani, Caren Han, Jean Lee, Paolo Garza, Josiah Poon +1

ACL 2024findings

This paper presents a groundbreaking multimodal, multi-task, multi-teacher joint-grained knowledge distillation model for visually-rich form document understanding. The model is designed to leverage insights from both fine-grained and coarse-grained levels by facilitating a nuanced correlation betwe…

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2024

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning

Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza

EMNLP 2024finding

Large Language Models (LLMs) have demonstrated impressive performance across various tasks. However, current training approaches combine standard cross-entropy loss with extensive data, human feedback, or ad hoc methods to enhance performance. These solutions are often not scalable or feasible due t…

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