3 citations · 9 across the 19 of their papers we have counts for
6 papers · 1 filter
Observe, Share, or Predict? Disentangling Partner Information in Embodied Multi-Agent Collaboration
Adrián Szlatincsán, Filippo Ziliotto, Bruno Lepri +3
LLMs are used as high-level controllers for embodied agents, but it remains unclear whether they support collaborative reasoning, such as anticipating a collaborator's actions in r…
Deal Me Maybe: The Role of Emotions in Multi-Agent Negotiation
Massimiliano Luca, Apoorva Singh, Bruno Lepri
Negotiation is a demanding social task for LLM agents, requiring strategic reasoning, persuasion, and interpersonal adaptation. Yet existing benchmarks often treat agents as emotio…
Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
Filippo Ziliotto, Ciro Beneduce, Bruno Lepri +3
In the animal kingdom, mirror self-recognition is a canonical probe of higher-order cognition, emerging only in some species. We ask whether an analogous functional capability emer…
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
Ciro Beneduce, Massimiliano Luca, Bruno Lepri
Diffusion-based text-to-image models are increasingly used for urban analysis and scenario generation, but their geographic knowledge and representational biases remain poorly unde…
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
Massimiliano Luca, Ciro Beneduce, Bruno Lepri +1
With the wide and cross-domain adoption of Large Language Models, it becomes crucial to assess to which extent the statistical correlations in training data, which underlie their i…
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
Laura Ferrarotti, Massimiliano Luca, Gabriele Santin +9
Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist wi…