Are Large Language Models Capable of Generating Human-Level Narratives?
Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, and Nanyun Peng, in Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
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Abstract
We investigate the narrative capabilities of LLMs, focusing on story arcs, turning points, and affective dimensions. Our analysis reveals significant discrepancies between LLM- and human-written stories, and we propose enhancements for storytelling in LLMs.
Bib Entry
@inproceedings{tian2024are,
author = {Tian, Yufei and Huang, Tenghao and Liu, Miri and Jiang, Derek and Spangher, Alexander and Chen, Muhao and May, Jonathan and Peng, Nanyun},
title = {Are Large Language Models Capable of Generating Human-Level Narratives?},
booktitle = {Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2024}
}