9 citations · 30 across the 9 of their papers we have counts for
10 papers
Calibrated Ambiguity in Multimodal Language Models: Humans reach for cultural references, while models describe the picture
Cody Kommers, Mingrui Ye, Evelyn Gius +4
Ambiguity is often treated as a bug for AI systems to resolve---but in human communication and culture, ambiguity can also be a generative resource. From humour to politics to art,…
Computational Hermeneutics: Evaluating generative AI as a cultural technology
Cody Kommers, Ruth Ahnert, Maria Antoniak +35
Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…
Physically Embodied Deep Image Optimisation
Daniela Mihai, Jonathon Hare
Physical sketches are created by learning programs to control a drawing robot. A differentiable rasteriser is used to optimise sets of drawing strokes to match an input image, usin…
Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?
Daniela Mihai, Jonathon Hare
We present an investigation into how representational losses can affect the drawings produced by artificial agents playing a communication game. Building upon recent advances, we s…
Learning to Draw: Emergent Communication through Sketching
Daniela Mihai, Jonathon Hare
Evidence that visual communication preceded written language and provided a basis for it goes back to prehistory, in forms such as cave and rock paintings depicting traces of our d…
Differentiable Drawing and Sketching
Daniela Mihai, Jonathon Hare
We present a bottom-up differentiable relaxation of the process of drawing points, lines and curves into a pixel raster. Our approach arises from the observation that rasterising a…