arxiv
PublishedOctober 13, 2026 at 4:00 AM
Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs
Publisher summary· verbatim
arXiv:2411.02817v3 Announce Type: replace-cross Abstract: Generative models guided by text prompts are widely evaluated for fidelity and prompt alignment, yet their ability to produce diverse outputs remains underexplored. Existing diversity metrics such as Vendi and RKE, which are based on the von
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation11harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video11harxivCan Graph Learning Learn Circuits?11harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery11hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗