5 citations · 5 across the 6 of their papers we have counts for
6 papers
Towards Zero-Shot Coordination between Teams of Agents: The N-XPlay Framework
Ava Abderezaei, Chi-Hui Lin, Joseph Miceli +4
Zero-shot coordination (ZSC) -- the ability to collaborate with unfamiliar partners -- is essential to making autonomous agents effective teammates. Existing ZSC methods evaluate c…
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions
Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Katharina von der Wense +1
In collaborative tasks, autonomous agents fall short of humans in their capability to quickly adapt to new and unfamiliar teammates. We posit that a limiting factor for zero-shot c…
Gaze-informed Signatures of Trust and Collaboration in Human-Autonomy Teams
Anthony J. Ries, Stéphane Aroca-Ouellette, Alessandro Roncone +1
In the evolving landscape of human-autonomy teaming (HAT), fostering effective collaboration and trust between human and autonomous agents is increasingly important. To explore thi…
Eyes on the Game: Deciphering Implicit Human Signals to Infer Human Proficiency, Trust, and Intent
Nikhil Hulle, Stéphane Aroca-Ouellette, Anthony J. Ries +3
Effective collaboration between humans and AIs hinges on transparent communication and alignment of mental models. However, explicit, verbal communication is not always feasible. U…
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color
Cory Paik, Stéphane Aroca-Ouellette, Alessandro Roncone +1
Recent work has raised concerns about the inherent limitations of text-only pretraining. In this paper, we first demonstrate that reporting bias, the tendency of people to not stat…
PROST: Physical Reasoning of Objects through Space and Time
Stéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone +1
We present a new probing dataset named PROST: Physical Reasoning about Objects Through Space and Time. This dataset contains 18,736 multiple-choice questions made from 14 manually…