mlsanityData to 7 Oct 2026

NarrativePlay: Interactive Narrative Understanding

arXiv 2310.01459 ↗First posted 2 Oct 2023cs.CL cs.AI cs.HCcited by 10

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Abstract (arXiv)

In this paper, we introduce NarrativePlay, a novel system that allows users to role-play a fictional character and interact with other characters in narratives such as novels in an immersive environment. We leverage Large Language Models (LLMs) to generate human-like responses, guided by personality traits extracted from narratives. The system incorporates auto-generated visual display of narrative settings, character portraits, and character speech, greatly enhancing user experience. Our approach eschews predefined sandboxes, focusing instead on main storyline events extracted from narratives from the perspective of a user-selected character. NarrativePlay has been evaluated on two types of narratives, detective and adventure stories, where users can either explore the world or improve their favorability with the narrative characters through conversations.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 11 of its 23 references that are in the map. First posted on arXiv 2 Oct 2023.

Builds on

11 of 23 references.

References · 11

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  4. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,337
  5. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  6. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
  7. 2018TextWorld: A Learning Environment for Text-based Gamescited by 304
  8. 2023Exploring Large Language Models for Communication Games: An Empirical Study on Werewolfcited by 238
  9. 2019Interactive Fiction Games: A Colossal Adventurecited by 165
  10. 2022Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehensioncited by 79
  11. 2020Text-to-Image Generation Grounded by Fine-Grained User Attentioncited by 36

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Citing papers per year: 2024: 6; 2025: 4.

10 papers.