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most citedHow to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

96 citations · 367 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.HC2023★ 2 cited

WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI

Hai Dang, Frederik Brudy, George Fitzmaurice +1

Crafting a rich and unique environment is crucial for fictional world-building, but can be difficult to achieve since illustrating a world from scratch requires time and significan…

cs.HC2023★ 82 cited

Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting

Hai Dang, Sven Goller, Florian Lehmann +1

We propose a conceptual perspective on prompts for Large Language Models (LLMs) that distinguishes between (1) diegetic prompts (part of the narrative, e.g. "Once upon a time, I sa…