Browse State-of-the-Art › Story Completion
Story Completion
9 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Given a story prefix and two possible endings, determining which one is the correct (coherent) ending of the story.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 Jan 2021 2 repositories listedVisual storytelling and story comprehension are uniquely human skills that play a central role in how we learn about and experience the world.
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25 May 2025 1 repository listedInstruction-tuned large language models (LLMs) employ structured templates, such as role markers and special tokens, to enforce format consistency during inference.
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26 Apr 2023 1 repository listedStories about everyday situations are an essential part of human communication, motivating the need to develop AI agents that can reliably understand these stories.
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20 Apr 2022 1 repository listedOpen-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context.
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4 Jun 2021 1 repository listedDespite recent successes of large pre-trained language models in solving reasoning tasks, their inference capabilities remain opaque.
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1 Dec 2020 1 repository listedWe first conduct an experiment focusing on MPP, and our analysis shows that highly accurate predictions can be obtained when the missing part of a story is the beginning or the end.
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6 Apr 2020 1 repository listedCurrent state-of-the-art text generators build on powerful language models such as GPT-2, achieving impressive performance.
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1 Jul 2019 1 repository listedOur model uses shared attention layers for encoder and decoder, which make the most of the contextual clues, and a latent variable for learning the distribution of coherent story plots.
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27 Sep 2018 1 repository listedLanguage-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to add to the story.
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