Hugging Face Trending Papers

Design Creativity Bench: Measuring creativity in LLM-Generated UI

Read the original on Hugging Face Trending Papers →

Design Creativity Bench is a new benchmark that evaluates the diversity and appropriateness of UI designs generated by large language models (LLMs). It measures originality (distinctiveness among models on the same prompt), creative range (how much designs change between prompts for the same UI goal), and appropriateness (how many brief criteria each design meets). The benchmark shows that LLMs produce designs that are far less original and less varied than human designs, though they are generally appropriate.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Hugging Face Trending Papers.

arXiv AI
Oct 9

Design Creativity Bench: Measuring creativity in LLM-Generated UI

The paper introduces Design Creativity Bench, a benchmark for evaluating creativity in large language model (LLM)-generated user interface (UI) designs. It measures originality (distinctiveness among models on the same prompt), creative range (how designs vary across prompts for the same UI goal), and appropriateness (how many brief criteria each design meets). Results show LLMs produce designs that are generally appropriate but far less original and varied than human designs, indicating a need for stronger measures to address this limitation.

By Aman Rusia, Abhijit Bhole, Prashank Gupta, Dipanjan Dey
arXiv AI
Sep 28

Breaking Homogeneity: Diversifying Persona Sets for Creative LLM Outputs

The paper introduces persona diversification as a set‑level conditioning strategy to reduce homogeneity in large language model outputs. It explores two design axes—selecting versus generating personas and space‑filling versus frontier‑seeking diversity—implementing four methods that span coverage and dispersion subset selections, uniform‑coverage sampling, and evolutionary persona generation. Experiments on tasks such as the Alternative Uses Task, Infinity‑Chat, and Divergent Association Task demonstrate significant gains in response diversity, originality, flexibility, and overall creativity, while maintaining high validity.

By Sang Bin Moon, Nicole Cho, Daniel Borrajo, Sumitra Ganesh, Abolfazl Hashemi
arXiv AI
Jun 30

The Human Creativity Benchmark

arXiv:2606. 30561v1 Announce Type: new Abstract: Modern AI evaluation frameworks treat evaluator disagreement as noise to be resolved.

By Aspen Hopkins, Allison Nulty, Alexandria Minetti, Anoop Pakki, Angad Singh