---
title: "LitVISTA: A Benchmark for Narrative Orchestration in Literary Text"
description: "They propose VISTA Space, a three-dimensional framework that places human and model views of a story in one shared space. 32 references."
authors: ["Mingzhe Lu", "Yiwen Wang", "Yanbing Liu", "Qi You", "Chong Liu", "Ruize Qin", "Haoyu Dong", "Wenyu Zhang", "JiaRui Zhang", "Yue Hu", "Yunpeng Li"]
year: 2026
venue: "Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)"
source: "https://aclanthology.org/2026.acl-long.1024/"
doi: "10.18653/v1/2026.acl-long.1024"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/lu-2026-litvista-benchmark-narrative-orchestration-literary/"
---
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# LitVISTA: A Benchmark for Narrative Orchestration in Literary Text

**Authors:** Mingzhe Lu, Yiwen Wang, [Yanbing Liu](https://md.research.elamur.ai/free/en/authors/yanbing-liu/), Qi You, [Chong Liu](https://md.research.elamur.ai/free/en/authors/chong-liu/), Ruize Qin, [Haoyu Dong](https://md.research.elamur.ai/free/en/authors/haoyu-dong/), [Wenyu Zhang](https://md.research.elamur.ai/free/en/authors/wenyu-zhang/), [JiaRui Zhang](https://md.research.elamur.ai/free/en/authors/jiarui-zhang/), [Yue Hu](https://md.research.elamur.ai/free/en/authors/yue-hu/) and [Yunpeng Li](https://md.research.elamur.ai/free/en/authors/yunpeng-li/) · **Year:** 2026 · **Venue:** [Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)](https://md.research.elamur.ai/free/en/venues/acl/) ([ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)) · **Publisher:** [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.acl-long.1024/) · [PDF](https://aclanthology.org/2026.acl-long.1024.pdf) · [DOI 10.18653/v1/2026.acl-long.1024](https://doi.org/10.18653/v1/2026.acl-long.1024) · [OpenAlex](https://openalex.org/W7166833573)

**Citations:** 1 citations (OpenAlex, 2026-10-14)

## Summary
Large language models can produce long stories that hold together causally, yet their plots tend to be flatter than human ones, with simpler arcs and turning points that arrive too early. The authors argue that narrative analysis can help diagnose this weakness in generation. They propose VISTA Space, a three-dimensional framework that places human and model views of a story in one shared space. In this framework, event anchors called Verbs+ (verbs plus event-denoting nouns) receive structural roles and dependency links. They then release LitVISTA, a benchmark built on LitBank literary texts and annotated by experts, which tests how well models recover this orchestration. Frontier models from the GPT, Claude, Grok and Gemini families were evaluated with gold anchors supplied. All of them struggled to capture event function and dependency structure together, and none formed a coherent global picture of the narrative. In end-to-end runs, most errors came from finding and locating anchors in the first place. Thinking modes gave mixed and modest gains. The benchmark offers interpretable signals for building story generators that are more aware of structure.

## Key points
- **Roles in VISTA Space.** Each Verb+ anchor gets one of four labels:
  - Impulses advance the plot backbone to a new stage (τ → τ+1, X-axis).
  - Resonances add descriptive texture without changing the stage (τ+δ, Y-axis).
  - Pauses suspend time to build intensity (Z-axis).
  - Non-Events are syntactic material outside the topology.
- **Dependency graph.** Resonances must attach to Impulses. Pauses can attach recursively to Resonances or Impulses.
- **Data.** LitVISTA derives from LitBank, which contains 100 public-domain English fiction works from Project Gutenberg under CC-BY 4.0. The benchmark is released at huggingface.co/datasets/VivldArc/VISTA.
- **Annotation.** Experts annotated manually, following a Theoretical Codebook and reaching labels through consensus adjudication. AI tools were allowed only for summarizing plot context, and no AI-generated labels entered the gold data.
- **Limitations.** The main results rely on the oracle setting. The data are English-only, small in scale, and do not model participants or characters.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

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- [University of Chinese Academy of Sciences](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) — University, Beijing, China · 188 works · 8,743 citations
- [Institute of Information Engineering](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) — Research institute, Beijing, China · 41 works · 1,485 citations

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🧭 Topics (1): [📏 Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · 1,341 works

## Cite

Cite as: Mingzhe Lu, Yiwen Wang, Yanbing Liu, Qi You, Chong Liu, Ruize Qin, Haoyu Dong, Wenyu Zhang, JiaRui Zhang, Yue Hu and Yunpeng Li. 2026. LitVISTA: A Benchmark for Narrative Orchestration in Literary Text. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{lu2026litvista,
  title = {{LitVISTA: A Benchmark for Narrative Orchestration in Literary Text}},
  author = {Mingzhe Lu, Yiwen Wang, Yanbing Liu, Qi You, Chong Liu, Ruize Qin, Haoyu Dong, Wenyu Zhang, JiaRui Zhang, Yue Hu and Yunpeng Li},
  booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2026},
  doi = {10.18653/v1/2026.acl-long.1024},
  url = {https://doi.org/10.18653/v1/2026.acl-long.1024}
}
```

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*Updated 2 November 2026*