Assessing Robustness of Text Classification through Maximal Safe Radius Computation. - Emanuele La Malfa; Min Wu 011; Luca Laurenti; Benjie Wang 001; Anthony Hartshorn; Marta Kwiatkowska (EMNLP (Findings), 2020)

Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. - Emanuele La Malfa; Gabriele La Malfa; Giuseppe Nicosia; Vito Latora (ICTAI, 2021)

On Guaranteed Optimal Robust Explanations for NLP Models. - Emanuele La Malfa; Rhiannon Michelmore; Agnieszka M. Zbrzezny; Nicola Paoletti; Marta Kwiatkowska (IJCAI, 2021)

Distilling Financial Models by Symbolic Regression. - Gabriele La Malfa; Emanuele La Malfa; Roman V. Belavkin; Panos M. Pardalos; Giuseppe Nicosia (LOD, 2021)

The King Is Naked: On the Notion of Robustness for Natural Language Processing. - Emanuele La Malfa; Marta Kwiatkowska (AAAI, 2022)

Deep Neural Networks as Complex Networks. - Emanuele La Malfa; Gabriele La Malfa; Claudio Caprioli; Giuseppe Nicosia; Vito Latora (CoRR, 2022)

Emergent Linguistic Structures in Neural Networks are Fragile. - Emanuele La Malfa; Matthew Wicker; Marta Kiatkowska (CoRR, 2022)

Language Model Tokenizers Introduce Unfairness Between Languages. - Aleksandar Petrov; Emanuele La Malfa; Philip H. S. Torr; Adel Bibi (NeurIPS, 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 001; Nigel Shadbolt; Michael J. Wooldridge (CoRR, 2023)

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 001; Michael J. Wooldridge (EMNLP (Findings), 2024)

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. - Fangru Lin; Emanuele La Malfa; Valentin Hofmann; Elle Michelle Yang; Anthony G. Cohn 001; Janet B. Pierrehumbert (ICML, 2024)

Deep Neural Networks via Complex Network Theory: A Perspective. - Emanuele La Malfa; Gabriele La Malfa; Giuseppe Nicosia; Vito Latora (IJCAI, 2024)

Code Simulation Challenges for Large Language Models. - Emanuele La Malfa; Christoph Weinhuber; Orazio Torre; Fangru Lin; Anthony G. Cohn 001; Nigel Shadbolt; Michael J. Wooldridge (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)

A Scalable Communication Protocol for Networks of Large Language Models. - Samuele Marro; Emanuele La Malfa; Jesse Wright; Guohao Li 001; Nigel Shadbolt; Michael J. Wooldridge; Philip Torr 001 (CoRR, 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 001; Nigel Shadbolt; Michael J. Wooldridge (J. Artif. Intell. Res., 2024)

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 012; Si-Qing Chen; Michael J. Wooldridge; Janet B. Pierrehumbert; Furu Wei (ACL (1), 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 (ACL (Findings), 2025)

Language Models Are Implicitly Continuous. - Samuele Marro; Davide Evangelista; X. Angelo Huang; Emanuele La Malfa; Michele Lombardi 001; Michael J. Wooldridge (ICLR, 2025)

Jailbreaking Large Language Models in Infinitely Many Ways. - Oliver Goldstein; Emanuele La Malfa; Felix Drinkall; Samuele Marro; Michael J. Wooldridge (CoRR, 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 001; Nigel Shadbolt; Michael J. Wooldridge (CoRR, 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, 2025)

Fixed Point Explainability. - Emanuele La Malfa; Jon Vadillo; Marco Molinari; Michael J. Wooldridge (CoRR, 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 001; Michael J. Wooldridge (CoRR, 2025)