Computational generation of stories is a subfield of computational creativity where artificial
intelligence and psychology intersect to teach computers how to mimic humans' creativity. It …

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 …

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

Human evaluations are typically considered the gold standard in natural language
generation, but as models' fluency improves, how well can evaluators detect and judge …

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 …

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

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 …

Recent developments in natural language generation (NLG) using neural language models
have brought us closer than ever to the goal of building AI-powered creative writing tools …

The task of long-form question answering (LFQA) involves retrieving documents relevant to
a given question and using them to generate a paragraph-length answer. While many …

Abstract Machine Learning (ML) has become an important part of the creative process for
human fiction writers, allowing them to utilize various sources of information and be inspired …