Results 11 to 20 of about 115,144 (219)
Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective [PDF]
Interactive_Learning_Environments (2024) 1_20, 2023 This study applies Activity Theory to investigate how English as a foreign language (EFL) students prompt generative artificial intelligence (AI) tools during short story writing. Sixty-seven Hong Kong secondary school students created generative-AI tools using open-source language models and wrote short stories with them.
arxiv +1 more source
TopNet: Learning from Neural Topic Model to Generate Long Stories [PDF]
Yang, Yazheng, Boyuan Pan, Deng Cai, and Huan Sun. "TopNet:
Learning from Neural Topic Model to Generate Long Stories." In Proceedings of
the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp.
1997-2005. 2021, 2021 Long story generation (LSG) is one of the coveted goals in natural language processing. Different from most text generation tasks, LSG requires to output a long story of rich content based on a much shorter text input, and often suffers from information sparsity.
arxiv +1 more source
Every picture tells a story: Image-grounded controllable stylistic story generation [PDF]
arXiv, 2022 Generating a short story out of an image is arduous. Unlike image captioning, story generation from an image poses multiple challenges: preserving the story coherence, appropriately assessing the quality of the story, steering the generated story into a certain style, and addressing the scarcity of image-story pair reference datasets limiting ...
arxiv
Mortal Brownian motion: three short stories [PDF]
Int. J. Mod. Phys. B 33 1950172 (2019), 2019 Mortality introduces an intrinsic time scale into the scale-invariant Brownian motion. This fact has important consequences for different statistics of Brownian motion. Here we are telling three short stories, where spontaneous death, such as radioactive decay, puts a natural limit to "lifetime achievements" of a Brownian particle.
arxiv +1 more source
LongStory: Coherent, Complete and Length Controlled Long story Generation [PDF]
arXiv, 2023 A human author can write any length of story without losing coherence. Also, they always bring the story to a proper ending, an ability that current language models lack. In this work, we present the LongStory for coherent, complete, and length-controlled long story generation.
arxiv
End-to-end Story Plot Generator [PDF]
arXiv, 2023 Story plots, while short, carry most of the essential information of a full story that may contain tens of thousands of words. We study the problem of automatic generation of story plots, which includes story premise, character descriptions, plot outlines, etc. To generate a single engaging plot, existing plot generators (e.g., DOC (Yang et al., 2022a))
arxiv
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction [PDF]
arXiv, 2023 Creative writing is hard: Novelists struggle with writer's block daily. While automatic story generation has advanced recently, it is treated as a "toy task" for advancing artificial intelligence rather than helping people. In this paper, we create a system that produces a short description that narrates a predicted plot using existing story generation
arxiv
Crime Against History: Slavery, Race, and the 1776 Report
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT With the 2025 executive order, “Ending Radical Indoctrination in K‐12 Schooling,” the Trump administration reestablished the 1776 Commission, which produced The 1776 Report. This article argues that this report, which is an unsubtle response to The 1619 Project, reveals how White Christian Nationalists wish to mandate that a hyper‐patriotic ...
William V. Trollinger
wiley +1 more source
TVStoryGen: A Dataset for Generating Stories with Character Descriptions [PDF]
arXiv, 2021 We introduce TVStoryGen, a story generation dataset that requires generating detailed TV show episode recaps from a brief summary and a set of documents describing the characters involved. Unlike other story generation datasets, TVStoryGen contains stories that are authored by professional screen-writers and that feature complex interactions among ...
arxiv
Precision‐Optimised Post‐Stroke Prognoses
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope +4 more
wiley +1 more source