43 citations · 191 across the 21 of their papers we have counts for
22 papers
A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
Piotr Wojciech Mirowski, Juliette Love, Kory W. Mathewson +1
We interviewed twenty professional comedians who perform live shows in front of audiences and who use artificial intelligence in their artistic process as part of 3-hour workshops…
Divergent Creativity in Humans and Large Language Models
Antoine Bellemare-Pepin, François Lespinasse, Philipp Thölke +5
The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of exci…
Adaptive patch foraging in deep reinforcement learning agents
Nathan J. Wispinski, Andrew Butcher, Kory W. Mathewson +3
Patch foraging is one of the most heavily studied behavioral optimization challenges in biology. However, despite its importance to biological intelligence, this behavioral optimiz…
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning
Kory W. Mathewson, Patrick M. Pilarski
Interactive machine learning (IML) is a field of research that explores how to leverage both human and computational abilities in decision making systems. IML represents a collabor…
#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
Jacqueline Comer, Sam Work, Kory W Mathewson +2
The United Nations identified gender equality as a Sustainable Development Goal in 2015, recognizing the underrepresentation of women in politics as a specific barrier to achieving…
Imitating Interactive Intelligence
Josh Abramson, Arun Ahuja, Iain Barr +26
A common vision from science fiction is that robots will one day inhabit our physical spaces, sense the world as we do, assist our physical labours, and communicate with us through…