Like humans, large language models (LLMs) do not always generate the best output on their
first try. Motivated by how humans refine their written text, we introduce Self-Refine, an …

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

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

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

Recent work in training large language models (LLMs) to follow natural language
instructions has opened up exciting opportunities for natural language interface design …

Large Language Models (LLMs) have become the backbone of numerous writing interfaces
with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the …

The use of Large Language Models (LLMs) for writing has sparked controversy both among
readers and writers. On one hand, writers are concerned that LLMs will deprive them of …

Writing a scientific article is a challenging task as it is a highly codified genre. Good writing
skills are essential to properly convey ideas and results of research work. Since the majority …

Conversational interfaces powered by Large Language Models (LLMs) have recently
become a popular way to obtain feedback during document editing. However, standard chat …

This article considers the increasing use of algorithmic decision-support systems and
synthetic media in the newsroom, and explores how generative models can help reporters …