SOTAVerified

Story Generation

Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.

Papers

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Showing 81–90 of 235 papers

TitleStatusHype
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel ImagesCode0
An FNet based Auto Encoder for Long Sequence News Story GenerationCode0
Inferring the Reader: Guiding Automated Story Generation with Commonsense ReasoningCode0
Event Representations for Automated Story Generation with Deep Neural NetsCode0
Arabic Automatic Story Generation with Large Language ModelsCode0
MMT: Image-guided Story Ending Generation with Multimodal Memory TransformerCode0
Consistent Story Generation with Asymmetry Zigzag SamplingCode0
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story GenerationCode0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Informative Visual Storytelling with Cross-modal RulesCode0
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All datasetsFandom devFandom testTVMegaSite devTVMegaSite testWritingPrompts

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1(NN) Oracle plot + summary + oracle char. desc.BLEU28.4—Unverified
#ModelMetricClaimedVerifiedStatus
1(NN) Oracle plot + summary + oracle char. desc.BLEU28.4—Unverified
#ModelMetricClaimedVerifiedStatus
1(NN) Oracle plot + summary + oracle char. desc.BLEU30.9—Unverified
#ModelMetricClaimedVerifiedStatus
1(NN) Oracle plot + summary + oracle char. desc.BLEU28.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-133.79—Unverified