Emanuele La Malfa

According to our database, Emanuele La Malfa authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning.

Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert

CoRR, 2024

Code Simulation Challenges for Large Language Models.

Emanuele La Malfa, Christoph Weinhuber, Orazio Torre, Fangru Lin, Anthony G. Cohn, Nigel Shadbolt, Michael Wooldridge

CoRR, 2024

2023

The ARRT of Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges.

Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Anthony G. Cohn, Nigel Shadbolt, Michael Wooldridge

CoRR, 2023

Language Model Tokenizers Introduce Unfairness Between Languages.

Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Emergent Linguistic Structures in Neural Networks are Fragile.

Emanuele La Malfa, Matthew Wicker, Marta Kiatkowska

CoRR, 2022

Deep Neural Networks as Complex Networks.

Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli, Giuseppe Nicosia, Vito Latora

CoRR, 2022

The King Is Naked: On the Notion of Robustness for Natural Language Processing.

Emanuele La Malfa, Marta Kwiatkowska

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distilling Financial Models by Symbolic Regression.

Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

On Guaranteed Optimal Robust Explanations for NLP Models.

Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks.

Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Assessing Robustness of Text Classification through Maximal Safe Radius Computation.

Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020