LLMs infer cultural context from cues but fail to apply it for adapted responses unless prompted sequentially, shown via the CAPRI dataset on units, time, and quantity expressions.
Nelson, and Vered Shwartz
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LLMs generate narratives containing persistent stereotypes, erasure, and one-dimensional portrayals of Global Majority national identities, with minoritized groups overrepresented in subordinated roles by more than fifty times compared to dominant portrayals.
Proposes AI-driven simulations for literary-historical experiments and reports preliminary text-generation results claiming the first limited in-distribution outputs matching human novels.
citing papers explorer
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LLMs Infer Cultural Context but Fail to Apply It When Responding
LLMs infer cultural context from cues but fail to apply it for adapted responses unless prompted sequentially, shown via the CAPRI dataset on units, time, and quantity expressions.
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Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities
LLMs generate narratives containing persistent stereotypes, erasure, and one-dimensional portrayals of Global Majority national identities, with minoritized groups overrepresented in subordinated roles by more than fifty times compared to dominant portrayals.
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AI as a Tool for Simulation-Based Experiments in Literary Studies
Proposes AI-driven simulations for literary-historical experiments and reports preliminary text-generation results claiming the first limited in-distribution outputs matching human novels.