mlsanityData to 7 Oct 2026

Hierarchical Neural Story Generation

arXiv 1805.04833 ↗First posted 13 May 2018cs.CLcited by 1,182

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Cited by 59 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We explore story generation: creative systems that can build coherent and fluent passages of text about a topic. We collect a large dataset of 300K human-written stories paired with writing prompts from an online forum. Our dataset enables hierarchical story generation, where the model first generates a premise, and then transforms it into a passage of text. We gain further improvements with a novel form of model fusion that improves the relevance of the story to the prompt, and adding a new gated multi-scale self-attention mechanism to model long-range context. Experiments show large improvements over strong baselines on both automated and human evaluations. Human judges prefer stories generated by our approach to those from a strong non-hierarchical model by a factor of two to one.

Key facts. Cited by 1,182 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 May 2018.

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Citing papers per year: 2020: 1; 2021: 137; 2022: 189; 2023: 217; 2024: 240; 2025: 211; 2026: 187.

1,182 papers.

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  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
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  9. 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvaturecited by 705
  10. 2021Retrieval Augmentation Reduces Hallucination in Conversationcited by 691
  11. 2023RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignmentcited by 672
  12. 2023RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedbackcited by 615
38 more
  1. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 599
  2. 2022Contrastive Decoding: Open-ended Text Generation as Optimizationcited by 598
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  4. 2023OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocationcited by 468
  5. 2021MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontierscited by 466
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  7. 2023Catastrophic Jailbreak of Open-source LLMs via Exploiting Generationcited by 439
  8. 2021DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Expertscited by 434
  9. 2022ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detectioncited by 419
  10. 2022Deduplicating Training Data Mitigates Privacy Risks in Language Modelscited by 309
  11. 2021All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Textcited by 287
  12. 2021Recursively Summarizing Books with Human Feedbackcited by 287
  13. 2023Analyzing Leakage of Personally Identifiable Information in Language Modelscited by 278
  14. 2023Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvaturecited by 278
  15. 2024Knowledge Conflicts for LLMs: A Surveycited by 274
  16. 2022Reasoning with Language Model Prompting: A Surveycited by 251
  17. 2023Membership Inference Attacks against Language Models via Neighbourhood Comparisoncited by 249
  18. 2023Pretraining Language Models with Human Preferencescited by 245
  19. 2022Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformercited by 244
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  22. 2021The GEM Benchmark: Natural Language Generation, its Evaluation and Metricscited by 239
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  29. 2023DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Textcited by 207
  30. 2023LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planningcited by 206
  31. 2021Societal Biases in Language Generation: Progress and Challengescited by 201
  32. 2023FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Setscited by 198
  33. 2023Self-Evaluation Guided Beam Search for Reasoningcited by 195
  34. 2022Re3: Generating Longer Stories With Recursive Reprompting and Revisioncited by 193
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  36. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  37. 2022SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Controlcited by 191
  38. 2023Planning with Large Language Models for Code Generationcited by 179

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