Emanuele La Malfa

50 papers A* 7B 1Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Business Process Management: A Research Manifesto. CoRR Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, Emanuele La Malfa, Lior Limonad, Andrea Marrella, Andreas Metzger, Marco Montali, Daniel Amyot, Peter Fettke, Artem Polyvyanyy, Stefanie Rinderle-Ma, Sebastian Sardiña, Niek Tax, Barbara Weber
2026	J	`jnl`	Agentic Business Process Management: A research manifesto. Inf. Syst. Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, Emanuele La Malfa, Lior Limonad, Andrea Marrella, Andreas Metzger, Marco Montali, Daniel Amyot, Peter Fettke, Artem Polyvyanyy, Stefanie Rinderle-Ma, Sebastian Sardiña, Niek Tax, Barbara Weber
2026	J	`jnl`	Benchmarking at the Edge of Comprehension. CoRR Samuele Marro, Jialin Yu, Emanuele La Malfa, Oishi Deb, Jiawei Li, Yibo Yang, Ebey Abraham, Sunando Sengupta, Eric Sommerlade, Michael J. Wooldridge, Philip Torr
2026	J	`jnl`	Tacit Coordination of Large Language Models. CoRR Ido Aharon, Emanuele La Malfa, Michael J. Wooldridge, Sarit Kraus
2025	J	`jnl`	An End-to-end Planning Framework with Agentic LLMs and PDDL. CoRR Emanuele La Malfa, Ping Zhu, Samuele Marro, Sara Bernardini, Michael J. Wooldridge
2025	—	`conf`	Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. ACL (1) 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
2025	J	`jnl`	Code Simulation as a Proxy for High-order Tasks in Large Language Models. CoRR Emanuele La Malfa, Christoph Weinhuber, Orazio Torre, Fangru Lin, X. Angelo Huang, Samuele Marro, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge
2025	J	`jnl`	Fetch.ai: An Architecture for Modern Multi-Agent Systems. CoRR Michael J. Wooldridge, Attila Bagoly, Jonathan J. Ward, Emanuele La Malfa, Gabriel Paludo Licks
2025	J	`jnl`	Fixed Point Explainability. CoRR Emanuele La Malfa, Jon Vadillo, Marco Molinari, Michael J. Wooldridge
2025	J	`jnl`	Jailbreaking Large Language Models in Infinitely Many Ways. CoRR Oliver Goldstein, Emanuele La Malfa, Felix Drinkall, Samuele Marro, Michael J. Wooldridge
2025	A*	`conf`	Language Models Are Implicitly Continuous. ICLR Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge
2025	J	`jnl`	Language Models Are Implicitly Continuous. CoRR Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge
2025	A*	`conf`	Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. AAAI Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge
2025	J	`jnl`	Large Language Models Miss the Multi-Agent Mark. CoRR Emanuele La Malfa, Gabriele La Malfa, Samuele Marro, Jie M. Zhang, Elizabeth Black, Michael Luck, Philip Torr, Michael J. Wooldridge
2025	—	`conf`	Out-of-Context Reasoning in Large Language Models. EMNLP (Findings) Jonathan Shaki, Emanuele La Malfa, Michael J. Wooldridge, Sarit Kraus
2025	J	`jnl`	Understanding the Logical Capabilities of Large Language Models via Out-of-Context Representation Learning. CoRR Jonathan Shaki, Emanuele La Malfa, Michael J. Wooldridge, Sarit Kraus
2025	—	`conf`	When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits. ACL (Findings) Jabez Magomere, Emanuele La Malfa, Manuel Tonneau, Ashkan Kazemi, Scott A. Hale
2025	J	`jnl`	When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits. CoRR Jabez Magomere, Emanuele La Malfa, Manuel Tonneau, Ashkan Kazemi, Scott Hale
2024	—	`conf`	A Notion of Complexity for Theory of Mind via Discrete World Models. EMNLP (Findings) X. Angelo Huang, Emanuele La Malfa, Samuele Marro, Andrea Asperti, Anthony G. Cohn, Michael J. Wooldridge
2024	J	`jnl`	A Notion of Complexity for Theory of Mind via Discrete World Models. CoRR X. Angelo Huang, Emanuele La Malfa, Samuele Marro, Andrea Asperti, Anthony G. Cohn, Michael J. Wooldridge
2024	J	`jnl`	A Scalable Communication Protocol for Networks of Large Language Models. CoRR Samuele Marro, Emanuele La Malfa, Jesse Wright, Guohao Li, Nigel Shadbolt, Michael J. Wooldridge, Philip Torr
2024	J	`jnl`	Code Simulation Challenges for Large Language Models. CoRR Emanuele La Malfa, Christoph Weinhuber, Orazio Torre, Fangru Lin, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge
2024	A*	`conf`	Deep Neural Networks via Complex Network Theory: A Perspective. IJCAI Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2024	J	`jnl`	Deep Neural Networks via Complex Network Theory: a Perspective. CoRR Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2024	A*	`conf`	Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. ICML Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert
2024	J	`jnl`	Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. CoRR Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert
2024	J	`jnl`	Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. J. Artif. Intell. Res. Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge
2024	—	`ed.`	Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I LOD (1) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
2024	—	`ed.`	Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II LOD (2) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
2024	J	`jnl`	One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. CoRR Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Jing Yao, Si-Qing Chen, Michael J. Wooldridge, Furu Wei
2023	A*	`conf`	Language Model Tokenizers Introduce Unfairness Between Languages. NeurIPS Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi
2023	J	`jnl`	Language Model Tokenizers Introduce Unfairness Between Languages. CoRR Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi
2023	—	`ed.`	Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I LOD (1) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
2023	—	`ed.`	Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II LOD (2) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
2023	J	`jnl`	The ARRT of Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. CoRR Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge
2022	J	`jnl`	Deep Neural Networks as Complex Networks. CoRR Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli, Giuseppe Nicosia, Vito Latora
2022	J	`jnl`	Emergent Linguistic Structures in Neural Networks are Fragile. CoRR Emanuele La Malfa, Matthew Wicker, Marta Kiatkowska
2022	—	`ed.`	Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I LOD Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2022	—	`ed.`	Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II LOD Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2022	A*	`conf`	The King Is Naked: On the Notion of Robustness for Natural Language Processing. AAAI Emanuele La Malfa, Marta Kwiatkowska
2021	B	`conf`	Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. ICTAI Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2021	J	`jnl`	Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. CoRR Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2021	—	`conf`	Distilling Financial Models by Symbolic Regression. LOD Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia
2021	A*	`conf`	On Guaranteed Optimal Robust Explanations for NLP Models. IJCAI Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska
2021	J	`jnl`	On Guaranteed Optimal Robust Explanations for NLP Models. CoRR Emanuele La Malfa, Agnieszka Zbrzezny, Rhiannon Michelmore, Nicola Paoletti, Marta Kwiatkowska
2021	J	`jnl`	The King is Naked: on the Notion of Robustness for Natural Language Processing. CoRR Emanuele La Malfa, Marta Kwiatkowska
2020	—	`conf`	Assessing Robustness of Text Classification through Maximal Safe Radius Computation. EMNLP (Findings) Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska
2020	J	`jnl`	Assessing Robustness of Text Classification through Maximal Safe Radius Computation. CoRR Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska
2020	—	`ed.`	Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I LOD (1) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2020	—	`ed.`	Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II LOD (2) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton