Papers by Ziliang Qiu

1 papers
Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models (2025.emnlp-main)

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Challenge: Recent studies evaluate the creative capabilities of large language models (LLMs) through diverse tasks, aiming to understand their strengths and limitations.
Approach: They propose to ask LLMs to generate Parallel Chains of Associations to Evaluate their creativity.
Outcome: The proposed framework minimizes the risk of data contamination and offers a highly efficient evaluation.

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