Andrea Bartezzaghi

According to our database, Andrea Bartezzaghi authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Eliciting Reasoning in Language Models with Cognitive Tools.

Brown Ebouky, Andrea Bartezzaghi, Mattia Rigotti

CoRR, June, 2025

VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation.

Niccolò Avogaro, Thomas Frick, Yagmur Gizem Cinar, Daniel Caraballo, Cezary Skura, Filip Janicki, Piotr Kluska, Brown Ebouky, Nicola Farronato, Florian Scheidegger, Cristiano Malossi, Konrad Schindler, Andrea Bartezzaghi, Roy Assaf, Mattia Rigotti

CoRR, May, 2025

Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation.

Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, A. Cristiano I. Malossi, Konrad Schindler, Roy Assaf

Trans. Mach. Learn. Res., 2025

2024

Probabilistic Feature Matching for Fast Scalable Visual Prompting.

Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolò Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Combining Data Generation and Active Learning for Low-Resource Question Answering.

Maximilian Kimmich, Andrea Bartezzaghi, Jasmina Bogojeska, Cristiano Malossi, Ngoc Thang Vu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Prompting-based Synthetic Data Generation for Few-Shot Question Answering.

Maximilian Schmidt, Andrea Bartezzaghi, Ngoc Thang Vu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022

Improving Low-Resource Question Answering using Active Learning in Multiple Stages.

Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu

CoRR, 2022

Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE).

Jason Tsay, Andrea Bartezzaghi, Aleke Nolte, A. Cristiano I. Malossi

CoRR, 2022

2020

torcpy: Supporting task parallelism in Python.

Panagiotis E. Hadjidoukas, Andrea Bartezzaghi, Florian Scheidegger, Roxana Istrate, Costas Bekas, A. Cristiano I. Malossi

SoftwareX, 2020