papers

Publications (7)

cs.AI2020

Modelling serendipity in a computational context

Joseph Corneli, Anna Jordanous, Christian Guckelsberger +2

The term serendipity describes a creative process that develops, in context, with the active participation of a creative agent, but not entirely within that agent's control. While…

cs.SD2025

Emovectors: assessing emotional content in jazz improvisations for creativity evaluation

Anna Jordanous

Music improvisation is fascinating to study, being essentially a live demonstration of a creative process. In jazz, musicians often improvise across predefined chord progressions (…

cs.DL2017

Computer-Assisted Processing of Intertextuality in Ancient Languages

Mark Hedges, Anna Jordanous, K. Faith Lawrence +2

The production of digital critical editions of texts using TEI is now a widely-adopted procedure within digital humanities. The work described in this paper extends this approach t…

cs.AI2015

Implementing feedback in creative systems: A workshop approach

Joseph Corneli, Anna Jordanous

One particular challenge in AI is the computational modelling and simulation of creativity. Feedback and learning from experience are key aspects of the creative process. Here we i…

cs.CL2025

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models

Max Peeperkorn, Tom Kouwenhoven, Dan Brown +1

Instruction-tuning large language models (LLMs) reduces the diversity of their outputs, which has implications for many tasks, particularly for creative tasks. This paper investiga…

cs.CL2024

Is Temperature the Creativity Parameter of Large Language Models?

Max Peeperkorn, Tom Kouwenhoven, Dan Brown +1

Large language models (LLMs) are applied to all sorts of creative tasks, and their outputs vary from beautiful, to peculiar, to pastiche, into plain plagiarism. The temperature par…