643 citations · 722 across the 9 of their papers we have counts for
9 papers
Evolution & Foundation: AI Shares Creative Control
Dylan Banarse, Stephen Todd, William Latham +1
This paper investigates the creative process of automated design and artistic evaluation using an evolutionary system. We consider how a multimodal artificial intelligence (AI) mod…
Wanting to Be Understood Explains the Meta-Problem of Consciousness
Chrisantha Fernando, Dylan Banarse, Simon Osindero
Because we are highly motivated to be understood, we created public external representations -- mime, language, art -- to externalise our inner states. We argue that such external…
Wanting to be Understood
Chrisantha Fernando, Dylan Banarse, Simon Osindero
This paper explores an intrinsic motivation for mutual awareness, hypothesizing that humans possess a fundamental drive to understand and to be understood even in the absence of ex…
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski +2
Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the reasoning abilities of Large Language Models (LLMs) in various domains. However, such hand-cr…
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Viorica Pătrăucean, Lucas Smaira, Ankush Gupta +21
We propose a novel multimodal video benchmark - the Perception Test - to evaluate the perception and reasoning skills of pre-trained multimodal models (e.g. Flamingo, SeViLA, or GP…
CLIP-CLOP: CLIP-Guided Collage and Photomontage
Piotr Mirowski, Dylan Banarse, Mateusz Malinowski +2
The unabated mystique of large-scale neural networks, such as the CLIP dual image-and-text encoder, popularized automatically generated art. Increasingly more sophisticated generat…