NarraBench: A Comprehensive Framework for Narrative Benchmarking
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Abstract (arXiv)
We present NarraBench, a theory-informed taxonomy of narrative-understanding tasks, as well as an associated survey of 78 existing benchmarks in the area. We find significant need for new evaluations covering aspects of narrative understanding that are either overlooked in current work or are poorly aligned with existing metrics. Specifically, we estimate that only 27% of narrative tasks are well captured by existing benchmarks, and we note that some areas -- including narrative events, style, perspective, and revelation -- are nearly absent from current evaluations. We also note the need for increased development of benchmarks capable of assessing constitutively subjective and perspectival aspects of narrative, that is, aspects for which there is generally no single correct answer. Our taxonomy, survey, and methodology are of value to NLP researchers seeking to test LLM narrative understanding.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 45 of its 104 references that are in the map. First posted on arXiv 10 Oct 2025.
Builds on
45 of 104 references.
References · 45
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- 2019HellaSwag: Can a Machine Really Finish Your Sentence?cited by 4,100
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- 2020SummEval: Re-evaluating Summarization Evaluationcited by 674
- 2024LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methodscited by 465
- 2024JudgeBench: A Benchmark for Evaluating LLM-based Judgescited by 318
- 2023FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactionscited by 171
- 2023BooookScore: A systematic exploration of book-length summarization in the era of LLMscited by 137
- 2024When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboardscited by 137
- 2025NoLiMa: Long-Context Evaluation Beyond Literal Matchingcited by 126
- 2024Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignmentcited by 104
- 2024Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoningcited by 88
33 more
- 2024One Thousand and One Pairs: A "novel" challenge for long-context language modelscited by 80
- 2024Are Large Language Models Capable of Generating Human-Level Narratives?cited by 79
- 2024MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixturescited by 74
- 2024ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMcited by 73
- 2016The emotional arcs of stories are dominated by six basic shapescited by 71
- 2024Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?cited by 71
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- 2024LLMs May Perform MCQA by Selecting the Least Incorrect Optioncited by 33
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- 2023DialogBench: Evaluating LLMs as Human-like Dialogue Systemscited by 31
- 2021Goal-Oriented Script Constructioncited by 30
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- 2020An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the webcited by 16
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- 2025MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fablescited by 9
- 2022NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarizationcited by 5
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Citing papers per year: 2026: 13.
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- 2026StoryScope: Investigating idiosyncrasies in AI fictioncited by 9
- 2026AI as Entertainmentcited by 2
- 2026Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generationcited by 2
- 2026AI as a Tool for Simulation-Based Experiments in Literary Studiescited by 2
- 2026Characterizing Narrative Content in Web-scale LLM Pretraining Datacited by 2
- 2026From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narrativescited by 2
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Studycited by 1
- 2026Evaluating Multimodal Narrative Understanding of Popular Hollywood Filmscited by 1
- 2026When Models Know More Than They Say: Probing Analogical Reasoning in LLMscited by 0
- 2026SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensionscited by 0
- 2026GENIE: A Fine-Grained Measure for Noveltycited by 0
- 2026SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narrativescited by 0
1 more
- 2026SlopShape: Identifying AI-Generated Commercial Web Content14 Sep 2026
- 2026SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narratives6 Sep 2026
- 2026Evaluating Multimodal Narrative Understanding of Popular Hollywood Films17 Aug 2026
- 2026From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives1 Jul 2026
- 2026Characterizing Narrative Content in Web-scale LLM Pretraining Data17 Jun 2026
- 2026GENIE: A Fine-Grained Measure for Novelty11 Jun 2026
- 2026AI as a Tool for Simulation-Based Experiments in Literary Studies1 Jun 2026
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study27 May 2026
- 2026SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensions8 May 2026
- 2026Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generation9 Apr 2026
- 2026When Models Know More Than They Say: Probing Analogical Reasoning in LLMs4 Apr 2026
- 2026StoryScope: Investigating idiosyncrasies in AI fiction3 Apr 2026
1 more
- 2026AI as Entertainment13 Jan 2026
- 2026StoryScope: Investigating idiosyncrasies in AI fictioncited by 9
- 2026AI as Entertainmentcited by 2
- 2026Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generationcited by 2
- 2026AI as a Tool for Simulation-Based Experiments in Literary Studiescited by 2
- 2026Characterizing Narrative Content in Web-scale LLM Pretraining Datacited by 2
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Studycited by 1
- 2026SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensionscited by 0
- 2026GENIE: A Fine-Grained Measure for Noveltycited by 0
- 2026SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narrativescited by 0
- 2026SlopShape: Identifying AI-Generated Commercial Web Contentcited by 0
- 2026SlopShape: Identifying AI-Generated Commercial Web Content14 Sep 2026
- 2026SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narratives6 Sep 2026
- 2026Characterizing Narrative Content in Web-scale LLM Pretraining Data17 Jun 2026
- 2026GENIE: A Fine-Grained Measure for Novelty11 Jun 2026
- 2026AI as a Tool for Simulation-Based Experiments in Literary Studies1 Jun 2026
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study27 May 2026
- 2026SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensions8 May 2026
- 2026Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generation9 Apr 2026
- 2026StoryScope: Investigating idiosyncrasies in AI fiction3 Apr 2026
- 2026AI as Entertainment13 Jan 2026