Papers with Creative Writing

2 papers
Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach (2025.findings-emnlp)

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Challenge: Existing methods for evaluating creativity of machine-generated texts rely on costly manual annotations or fail to align closely with human assessments.
Approach: They propose an automated method based on the Torrance Test of Creative Writing (TTCW) .
Outcome: The proposed method improves the alignment between LLM evaluations and human assessments.
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models (2025.emnlp-main)

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Challenge: Diverse language model responses are crucial for creative generation, open-ended tasks, and self-improvement training.
Approach: They propose a length-controlled data selection strategy that improves diversity while maintaining length parity.
Outcome: The proposed method improves diversity while maintaining length parity on LLaMA-3.1-8B and Olmo-2 family.

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