activity
20002025
most citedNegotiating Socially Optimal Allocations of Resources

125 citations · 352 across the 57 of their papers we have counts for

collaborators

63 papers

cs.AI2025

Proceedings of the Second International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2025)

Ha-Thanh Nguyen, Ken Satoh, Francesca Toni +2

Reasoning is an essential component of human intelligence in that it plays a fundamental role in our ability to think critically, support responsible decisions, and solve challengi…

cs.AI2023★ 3 cited

Honesty Is the Best Policy: Defining and Mitigating AI Deception

Francis Rhys Ward, Francesco Belardinelli, Francesca Toni +1

Deceptive agents are a challenge for the safety, trustworthiness, and cooperation of AI systems. We focus on the problem that agents might deceive in order to achieve their goals (…

cs.LG2023★ 1 cited

Hidden Conflicts in Neural Networks and Their Implications for Explainability

Adam Dejl, Dekai Zhang, Hamed Ayoobi +2

Artificial Neural Networks (ANNs) often represent conflicts between features, arising naturally during training as the network learns to integrate diverse and potentially disagreei…

cs.CL2023★ 3 cited

Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task

Ha-Thanh Nguyen, Randy Goebel, Francesca Toni +2

The evolution of Generative Pre-trained Transformer (GPT) models has led to significant advancements in various natural language processing applications, particularly in legal text…

cs.LG2023★ 2 cited

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation

Junqi Jiang, Jianglin Lan, Francesco Leofante +2

Counterfactual Explanations (CEs) have received increasing interest as a major methodology for explaining neural network classifiers. Usually, CEs for an input-output pair are defi…

cs.AI2023

Understanding ProbLog as Probabilistic Argumentation

Francesca Toni, Nico Potyka, Markus Ulbricht +1

ProbLog is a popular probabilistic logic programming language/tool, widely used for applications requiring to deal with inherent uncertainties in structured domains. In this paper…