mlsanityData to 7 Oct 2026

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

arXiv 2105.01311 ↗First posted 4 May 2021cs.CLcited by 29

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Abstract (arXiv)

Transformer-based language model approaches to automated story generation currently provide state-of-the-art results. However, they still suffer from plot incoherence when generating narratives over time, and critically lack basic commonsense reasoning. Furthermore, existing methods generally focus only on single-character stories, or fail to track characters at all. To improve the coherence of generated narratives and to expand the scope of character-centric narrative generation, we introduce Commonsense-inference Augmented neural StoryTelling (CAST), a framework for introducing commonsense reasoning into the generation process with the option to model the interaction between multiple characters. We find that our CAST method produces significantly more coherent, on-topic, enjoyable and fluent stories than existing models in both the single-character and two-character settings in three storytelling domains.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). Builds on 28 of its 93 references that are in the map. First posted on arXiv 4 May 2021.

Builds on

28 of 93 references.

References · 28

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  4. 2019The Curious Case of Neural Text Degenerationcited by 2,881
  5. 2018Hierarchical Neural Story Generationcited by 1,182
  6. 2019The Woman Worked as a Babysitter: On Biases in Language Generationcited by 540
  7. 2018Texygen: A Benchmarking Platform for Text Generation Modelscited by 484
  8. 2019COMET: Commonsense Transformers for Automatic Knowledge Graph Constructioncited by 450
  9. 2016A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Storiescited by 413
  10. 2020Evaluation of Text Generation: A Surveycited by 275
  11. 2020COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphscited by 254
  12. 2018Plan-And-Write: Towards Better Automatic Storytellingcited by 232
16 more
  1. 2019Strategies for Structuring Story Generationcited by 124
  2. 2020A Knowledge-Enhanced Pretraining Model for Commonsense Story Generationcited by 116
  3. 2020PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Trackingcited by 104
  4. 2020Content Planning for Neural Story Generation with Aristotelian Rescoringcited by 92
  5. 2017Event Representations for Automated Story Generation with Deep Neural Netscited by 62
  6. 2014Narrative Planning: Balancing Plot and Charactercited by 61
  7. 2018Story Ending Generation with Incremental Encoding and Commonsense Knowledgecited by 60
  8. 2018Modeling Naive Psychology of Characters in Simple Commonsense Storiescited by 59
  9. 2018Controllable Neural Story Plot Generation via Reward Shapingcited by 49
  10. 2020Modeling Protagonist Emotions for Emotion-Aware Storytellingcited by 42
  11. 2020Automated Storytelling via Causal, Commonsense Plot Orderingcited by 38
  12. 2019Story Realization: Expanding Plot Events into Sentencescited by 35
  13. 2020Bringing Stories Alive: Generating Interactive Fiction Worldscited by 28
  14. 2020Curious Case of Language Generation Evaluation Metrics: A Cautionary Talecited by 28
  15. 2017DeepTinglecited by 11
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 7; 2023: 6; 2024: 7; 2025: 3; 2026: 1.

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  1. 2024To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningcited by 257
  2. 2024Teaching Large Language Models to Reason with Reinforcement Learningcited by 158
  3. 2023The Next Chapter: A Study of Large Language Models in Storytellingcited by 58
  4. 2024Agents' Room: Narrative Generation through Multi-step Collaborationcited by 57
  5. 2022Dungeons and Dragons as a Dialog Challenge for Artificial Intelligencecited by 35
  6. 2024DataNarrative: Automated Data-Driven Storytelling with Visualizations and Textscited by 25
  7. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  8. 2021Cut the CARP: Fishing for zero-shot story evaluationcited by 14
  9. 2021Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learningcited by 14
  10. 2023GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidencecited by 14
  11. 2021Guiding Neural Story Generation with Reader Modelscited by 12
  12. 2023Affective and Dynamic Beam Search for Story Generationcited by 12
17 more
  1. 2023LongStory: Coherent, Complete and Length Controlled Long story Generationcited by 12
  2. 2021Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Storiescited by 11
  3. 2022ComFact: A Benchmark for Linking Contextual Commonsense Knowledgecited by 11
  4. 2025STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generationcited by 9
  5. 2022CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understandingcited by 7
  6. 2023Story Shaping: Teaching Agents Human-like Behavior with Storiescited by 7
  7. 2023Ambient Adventures: Teaching ChatGPT on Developing Complex Storiescited by 5
  8. 2022rmC small IS2: A Simplified Commonsense Inference Evaluation for Story Prosecited by 4
  9. 2022Event Transition Planning for Open-ended Text Generationcited by 4
  10. 2021Automated Story Generation as Question-Answeringcited by 3
  11. 2024DiffuCOMET: Contextual Commonsense Knowledge Diffusioncited by 2
  12. 2024Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Playcited by 2
  13. 2024Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?cited by 1
  14. 2025Collaborative Storytelling and LLM: A Linguistic Analysis of Automatically-Generated Role-Playing Game Sessionscited by 1
  15. 2025Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performancecited by 1
  16. 2026LogiStory: A Logic-Aware Framework for Multi-Image Story Visualizationcited by 1
  17. 2022XFBoost: Improving Text Generation with Controllable Decoderscited by 0