3 papers
Aligning LLMs by Predicting Preferences from User Writing Samples
Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald +1
Accommodating human preferences is essential for creating aligned LLM agents that deliver personalized and effective interactions. Recent work has shown the potential for LLMs acti…
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…
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…