Large-scale Text-to-image Generation Models (LTGMs)(eg, DALL-E), self-supervised deep
learning models trained on a huge dataset, have demonstrated the capacity for generating …

Recent studies have indicated that foundation models, such as BERT and GPT, excel at
adapting to various downstream tasks. This adaptability has made them a dominant force in …

Language models are increasingly attracting interest from writers. However, such models
lack long-range semantic coherence, limiting their usefulness for longform creative writing …

Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …

We consider the problem of automatically generating longer stories of over two thousand
words. Compared to prior work on shorter stories, long-range plot coherence and relevance …

Large language models (LLMs) provide a new way to build chatbots by accepting natural
language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on …

Large language models (LLMs) can capture rich representations of concepts that are useful
for real-world tasks. However, language alone is limited. While existing LLMs excel at text …

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

We propose a text editor to help users plan, structure and reflect on their writing process. It
provides continuously updated paragraph-wise summaries as margin annotations, using …

By simply composing prompts, developers can prototype novel generative applications with
Large Language Models (LLMs). To refine prototypes into products, however, developers …