3 citations · 3 across the 5 of their papers we have counts for
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cs.AI2026
Reinforcement Learning with Comparative Evidence for Social Intelligence
Keane Ong, Yuriel Ryan, Sabri Boughorbel +9
Developing socially intelligent AI remains heavily dependent on human-annotated data, limiting the scale and breadth of social understanding models can acquire. Methods that derive…
cs.AI2026
Explainable AI: Learning from the Learners
Ricardo Vinuesa, Steven L. Brunton, Gianmarco Mengaldo
Artificial intelligence now outperforms humans in several scientific and engineering tasks, yet its internal representations often remain opaque. In this Perspective, we argue that…
cs.AI2024★ 3 cited
Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence
Gianmarco Mengaldo
The scientific method is the cornerstone of human progress across all branches of the natural and applied sciences, from understanding the human body to explaining how the universe…