Papers by Miri Liu
Are Large Language Models Capable of Generating Human-Level Narratives? (2024.emnlp-main)
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Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng
| Challenge: | a recent HCI study has pointed to gaps in machine storytelling ability at the global level . authors show that LLMs have less suspense and less tension than human stories . |
| Approach: | They propose a computational framework to analyze narratives through three discourse-level aspects. |
| Outcome: | The proposed framework analyzes narratives through three discourse-level aspects . it shows that LLMs fall short of human abilities in discourse understanding . |
Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations (2026.eacl-long)
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| Challenge: | Creativity measures that distinguish creativity in one domain fail in others, and different metrics disagree on the same data points. |
| Approach: | They examine, analyze, and compare four representative creativity measures across the diverse creative domains, including creative writing, unconventional problem-solving, and research ideation. |
| Outcome: | The measures of creativity across creative domains are compared using a set of human-aligned examples and lack consistency across domains and metrics. |