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cs.CL2024★ 1 cited
iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop
Jiahui Li, Roman Klinger
Prompt engineering has made significant contributions to the era of large language models, yet its effectiveness depends on the skills of a prompt author. This paper introduces $\t…
cs.CL2024
Which Demographics do LLMs Default to During Annotation?
Johannes Schäfer, Aidan Combs, Christopher Bagdon +9
Demographics and cultural background of annotators influence the labels they assign in text annotation -- for instance, an elderly woman might find it offensive to read a message a…