lechmazur/divergent

LLM Divergent Thinking Creativity Benchmark. LLMs generate 25 unique words that start with a given letter with no connections to each other or to 50 initial random words.

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Experimental

This project helps evaluate how well different large language models (LLMs) can generate unique and diverse words, starting with specific letters, that are unrelated to a given set of initial words. It takes the names of various LLMs as input and outputs a creativity score for each, indicating their divergent thinking ability. This is useful for researchers and practitioners who need to assess the creative capacity of LLMs for tasks requiring varied and original word generation.

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Use this if you need to benchmark the divergent thinking and creativity of different large language models by measuring their ability to generate truly distinct words under specific constraints.

Not ideal if you are looking to evaluate LLMs on tasks like factual recall, summarization, or code generation.

AI evaluation LLM benchmarking computational creativity natural language processing research AI model selection
No License Stale 6m No Package No Dependents
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Adoption 7 / 25
Maturity 8 / 25
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Last pushed

Mar 20, 2025

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