LLMs and vision models achieve human-human alignment levels in judging network visualization aesthetics through prompt engineering on a new dataset of human preferences from 27 participants.
of GD 2010 6502(09 2010)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization
LLMs and vision models achieve human-human alignment levels in judging network visualization aesthetics through prompt engineering on a new dataset of human preferences from 27 participants.