Large language models (LMs) offer unprecedented language generation capabilities and
exciting opportunities for interaction design. However, their highly context-dependent …

Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

Thanks to their generative capabilities, large language models (LLMs) have become an
invaluable tool for creative processes. These models have the capacity to produce hundreds …

Although large language models (LLMs) have demonstrated impressive potential on simple
tasks, their breadth of scope, lack of transparency, and insufficient controllability can make …

The latest generation of large neural language models such as GPT-3 have achieved new
levels of performance on benchmarks for language understanding and generation. These …

Modern large-scale language models approach the quality of human-level writing. This
promises the advent of AI writing companions performing AI-led writing under human …

Prewriting is the process of discovering and developing ideas before writing a first draft,
which requires divergent thinking and often implies unstructured strategies such as …

Large Language Models (LLMs) have shown impressive capabilities in various applications,
but they still face various inconsistency issues. Existing works primarily focus on the …

The recent advancements in Large Language Models (LLMs), particularly conversational
LLMs like ChatGPT, have prompted changes in a range of fields, including design. This …

Textual content is often the output of a collaborative writing process: We start with an initial
draft, ask for suggestions, and repeatedly make changes. Agnostic of this process, today's …