Emanuele La Malfa

According to our database, Emanuele La Malfa authored at least 24 papers between 2020 and 2025.

Collaborative distances:

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

2025

Large Language Models Miss the Multi-Agent Mark.

Emanuele La Malfa, Gabriele La Malfa, Samuele Marro, Jie M. Zhang, Elizabeth Black, Micheal Luck, Philip Torr, Michael J. Wooldridge

CoRR, May, 2025

Fixed Point Explainability.

Emanuele La Malfa, Jon Vadillo, Marco Molinari, Michael J. Wooldridge

CoRR, May, 2025

Understanding the Logical Capabilities of Large Language Models via Out-of-Context Representation Learning.

Jonathan Shaki, Emanuele La Malfa, Michael J. Wooldridge, Sarit Kraus

CoRR, March, 2025

Code Simulation as a Proxy for High-order Tasks in Large Language Models.

Emanuele La Malfa, Christoph Weinhuber, Orazio Torre, Fangru Lin, X. Angelo Huang, Samuele Marro, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge

CoRR, February, 2025

Jailbreaking Large Language Models in Infinitely Many Ways.

Oliver Goldstein, Emanuele La Malfa, Felix Drinkall, Samuele Marro, Michael J. Wooldridge

CoRR, January, 2025

Language Models Are Implicitly Continuous.

Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits.

Jabez Magomere, Emanuele La Malfa, Manuel Tonneau, Ashkan Kazemi, Scott A. Hale

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks.

Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Xun Wang, Si-Qing Chen, Michael J. Wooldridge, Janet B. Pierrehumbert, Furu Wei

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

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

J. Artif. Intell. Res., 2024

A Scalable Communication Protocol for Networks of Large Language Models.

Samuele Marro, Emanuele La Malfa, Jesse Wright, Guohao Li, Nigel Shadbolt, Michael J. Wooldridge, Philip Torr

CoRR, 2024

One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks.

Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Jing Yao, Si-Qing Chen, Michael J. Wooldridge, Furu Wei

CoRR, 2024

Code Simulation Challenges for Large Language Models.

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

CoRR, 2024

Deep Neural Networks via Complex Network Theory: A Perspective.

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Notion of Complexity for Theory of Mind via Discrete World Models.

X. Angelo Huang, Emanuele La Malfa, Samuele Marro, Andrea Asperti, Anthony G. Cohn, Michael J. Wooldridge

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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 J. 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