Papers by Hamza Sidat

1 papers
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models (2024.emnlp-main)

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Challenge: Large Language Models (LLMs) are used to create personalized “mirror stories” that reflect and resonate with individual readers’ identities.
Approach: They propose to use Large Language Models to create personalized “mirror stories” that reflect and resonate with individual readers’ identities.
Outcome: The proposed models outperform generic human-written and LLM-generated narratives on all metrics of engagement and textual diversity while preserving the intended moral.

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