mlsanityData to 14 Oct 2026

Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models

arXiv 2212.10471 ↗First posted 20 Dec 2022cs.CLcited by 2

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Abstract (arXiv)

Previous work has demonstrated the effectiveness of planning for story generation exclusively in a monolingual setting focusing primarily on English. We consider whether planning brings advantages to automatic story generation across languages. We propose a new task of cross-lingual story generation with planning and present a new dataset for this task. We conduct a comprehensive study of different plans and generate stories in several languages, by leveraging the creative and reasoning capabilities of large pre-trained language models. Our results demonstrate that plans which structure stories into three acts lead to more coherent and interesting narratives, while allowing to explicitly control their content and structure.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 38 of its 73 references that are in the map. First posted on arXiv 20 Dec 2022.

Builds on

38 of 73 references.

References · 38

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  4. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  5. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
  6. 2022Emergent Abilities of Large Language Modelscited by 2,512
  7. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,989
  8. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  9. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  10. 2018Hierarchical Neural Story Generationcited by 1,193
  11. 2020It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learnerscited by 669
  12. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 606
26 more
  1. 2022Language Models are Multilingual Chain-of-Thought Reasonerscited by 530
  2. 2021MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontierscited by 470
  3. 2016A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Storiescited by 417
  4. 2018Plan-And-Write: Towards Better Automatic Storytellingcited by 234
  5. 2022Re3: Generating Longer Stories With Recursive Reprompting and Revisioncited by 193
  6. 2022Ask Me Anything: A simple strategy for prompting language modelscited by 155
  7. 2019Strategies for Structuring Story Generationcited by 124
  8. 2020PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Trackingcited by 105
  9. 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generationcited by 97
  10. 2022Language Models are General-Purpose Interfacescited by 97
  11. 2020Content Planning for Neural Story Generation with Aristotelian Rescoringcited by 92
  12. 2021Language Models are Few-shot Multilingual Learnerscited by 92
  13. 2020Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summarycited by 88
  14. 2021Planning with Learned Entity Prompts for Abstractive Summarizationcited by 75
  15. 2022Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generationcited by 75
  16. 2020MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Modelscited by 74
  17. 2022Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generationcited by 62
  18. 2014Narrative Planning: Balancing Plot and Charactercited by 61
  19. 2021Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generationcited by 60
  20. 2018A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generationcited by 42
  21. 2021Controllable Neural Dialogue Summarization with Personal Named Entity Planningcited by 36
  22. 2021Data-to-text Generation with Macro Planningcited by 34
  23. 2022QAmeleon: Multilingual QA with Only 5 Examplescited by 25
  24. 2022Context-Tuning: Learning Contextualized Prompts for Natural Language Generationcited by 12
  25. 2021Outline to Story: Fine-grained Controllable Story Generation from Cascaded Eventscited by 8
  26. 2020Consistency and Coherency Enhanced Story Generationcited by 5

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Cited by year

Citing papers per year: 2023: 2.

2 papers.

  1. 2023Challenges and Applications of Large Language Modelscited by 254
  2. 2023Trustworthiness of Children Stories Generated by Large Language Modelscited by 2

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  3. 2026StoryAlign: Evaluating and Training Reward Models for Story Generation
  4. 2026PlotTwist: A Creative Plot Generation Framework with Small Language Models
  5. 2026Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation
  6. 2025Guiding Generative Storytelling with Knowledge Graphs
  7. 2026From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
  8. 2023GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence