mlsanityData to 7 Oct 2026

Affective and Dynamic Beam Search for Story Generation

arXiv 2310.15079 ↗First posted 23 Oct 2023cs.CL cs.AI cs.LGcited by 12

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Abstract (arXiv)

Storytelling's captivating potential makes it a fascinating research area, with implications for entertainment, education, therapy, and cognitive studies. In this paper, we propose Affective Story Generator (AffGen) for generating interesting narratives. AffGen introduces "intriguing twists" in narratives by employing two novel techniques-Dynamic Beam Sizing and Affective Reranking. Dynamic Beam Sizing encourages less predictable, more captivating word choices using a contextual multi-arm bandit model. Affective Reranking prioritizes sentence candidates based on affect intensity. Our empirical evaluations, both automatic and human, demonstrate AffGen's superior performance over existing baselines in generating affectively charged and interesting narratives. Our ablation study and analysis provide insights into the strengths and weaknesses of AffGen.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 27 of its 58 references that are in the map. First posted on arXiv 23 Oct 2023.

Builds on

27 of 58 references.

References · 27

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019The Curious Case of Neural Text Degenerationcited by 2,881
  4. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,471
  5. 2018Hierarchical Neural Story Generationcited by 1,182
  6. 2019GLTR: Statistical Detection and Visualization of Generated Textcited by 490
  7. 2016A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Storiescited by 413
  8. 2018Plan-And-Write: Towards Better Automatic Storytellingcited by 232
  9. 2018Data-to-Text Generation with Content Selection and Planningcited by 106
  10. 2020Trading Off Diversity and Quality in Natural Language Generationcited by 94
  11. 2017RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systemscited by 88
  12. 2022Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generationcited by 73
15 more
  1. 2016The emotional arcs of stories are dominated by six basic shapescited by 69
  2. 2014Narrative Planning: Balancing Plot and Charactercited by 61
  3. 2020UNION: An Unreferenced Metric for Evaluating Open-ended Story Generationcited by 60
  4. 2020Modeling Protagonist Emotions for Emotion-Aware Storytellingcited by 42
  5. 2021Uncovering Implicit Gender Bias in Narratives through Commonsense Inferencecited by 32
  6. 2021Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoningcited by 29
  7. 2017Story Generation from Sequence of Independent Short Descriptionscited by 26
  8. 2022Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarizationcited by 26
  9. 2022Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generationcited by 15
  10. 2022Go Back in Time: Generating Flashbacks in Stories with Event Temporal Promptscited by 15
  11. 2021Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writingcited by 14
  12. 2020Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representationcited by 13
  13. 2022Towards Inter-character Relationship-driven Story Generationcited by 11
  14. 2021Contextualized Scene Imagination for Generative Commonsense Reasoningcited by 7
  15. 2023M-SENSE: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representationscited by 3

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Cited by year

Citing papers per year: 2024: 9; 2025: 3.

12 papers.

  1. 2024Are Large Language Models Capable of Generating Human-Level Narratives?cited by 78
  2. 2024Agents' Room: Narrative Generation through Multi-step Collaborationcited by 57
  3. 2024Collective Critics for Creative Story Generationcited by 21
  4. 2025Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasingcited by 14
  5. 2024MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generationcited by 13
  6. 2024Monotonic Paraphrasing Improves Generalization of Language Model Promptingcited by 10
  7. 2024SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignmentcited by 8
  8. 2024SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Dramacited by 5
  9. 2024Familiarity-Aware Evidence Compression for Retrieval-Augmented Generationcited by 4
  10. 2024Returning to the Start: Generating Narratives with Related Endpointscited by 3
  11. 2025Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Stylecited by 1
  12. 2025DiscoSum: Discourse-aware News Summarizationcited by 0