While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

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 …

Revision is an essential part of the human writing process. It tends to be strategic, adaptive,
and, more importantly, iterative in nature. Despite the success of large language models on …

Textual knowledge bases such as Wikipedia require considerable effort to keep up to date
and consistent. While automated writing assistants could potentially ease this burden, the …

In our era of rapid technological advancement, the research landscape for writing assistants
has become increasingly fragmented across various research communities. We seek to …

Story ideation is a critical part of the story-writing process. It is challenging to support
computationally due to its exploratory and subjective nature. Tropes, which are recurring …

We explore the idea of incorporating concepts from writing skills curricula into human-
machine collaborative writing scenarios, focusing on adding writing modes as a control for …

Despite the proven capabilities of Large Language Models (LLMs) across diverse tasks,
their effectiveness in technical writing–a domain that demands factual accuracy and …

The use of generative artificial intelligence is becoming increasingly prevalent in creating
content in various formats such as text, video, and image. However, there is a need to …

Neural language models have drastically changed the landscape of natural language
processing (NLP). Originally used for language generation (eg, in summarization and …