Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation

arXiv:2608.05576 · cs.CL, cs.CY · Submitted 2026-08-06 · Read on arXiv

cs.CL, cs.CY

Submitted: 2026-08-06

Updated: 2026-10-23

Comments: 18 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 9× in this paper · explained in 6 episodes
• Generative AI — 8× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Homogenization — 6× in this paper · explained in 2 episodes
• Generator — 5× in this paper · explained in 2 episodes
• Semantic Similarity — 5× in this paper · explained in 2 episodes
• Alternative Uses Task — 4× in this paper
• Benchmarking — 4× in this paper · explained in 4 episodes
• In-Boundary Rate — 4× in this paper
• Divergent Association Task — 3× in this paper
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Papers — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Transformers — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Composition — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distributional Alignment — 1× in this paper · explained in 2 episodes
• Evaluation Framework — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Geometric interpretation — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Provenance — 1× in this paper · explained in 5 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints
• Overton Pluralistic Reinforcement Learning for Large Language Models
• What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models
• CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
• Evaluating Creative Short Story Generation in Humans and Large Language Models
• Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework
• Provocations from the Humanities for Generative AI Research
• Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking
• MPNet: Masked and Permuted Pre-training for Language Understanding
• Can Language Models Represent the Past without Anachronism?
• We're Different, We're the Same: Creative Homogeneity Across LLMs
• Assessing and Understanding Creativity in Large Language Models

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