mlsanityData to 7 Oct 2026

Analyzing Nobel Prize Literature with Large Language Models

arXiv 2410.18142 ↗First posted 22 Oct 2024cs.CL cs.AIcited by 4

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Abstract (arXiv)

This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compared directly to those produced by graduate-level human participants. By focusing on two Nobel Prize-winning short stories, 'Nine Chapters' by Han Kang, the 2024 laureate, and 'Friendship' by Jon Fosse, the 2023 laureate, the research explores the extent to which AI can engage with complex literary elements such as thematic analysis, intertextuality, cultural and historical contexts, linguistic and structural innovations, and character development. Given the Nobel Prize's prestige and its emphasis on cultural, historical, and linguistic richness, applying LLMs to these works provides a deeper understanding of both human and AI approaches to interpretation. The study uses qualitative and quantitative evaluations of coherence, creativity, and fidelity to the text, revealing the strengths and limitations of AI in tasks typically reserved for human expertise. While LLMs demonstrate strong analytical capabilities, particularly in structured tasks, they often fall short in emotional nuance and coherence, areas where human interpretation excels. This research underscores the potential for human-AI collaboration in the humanities, opening new opportunities in literary studies and beyond.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 27 of its 43 references that are in the map. First posted on arXiv 22 Oct 2024.

Builds on

27 of 43 references.

References · 27

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  2. 2023Challenges and Applications of Large Language Modelscited by 251
  3. 2023Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology Viewcited by 221
  4. 2023Art or Artifice? Large Language Models and the False Promise of Creativitycited by 168
  5. 2024Evaluation of OpenAI o1: Opportunities and Challenges of AGIcited by 127
  6. 2022Pretrained Language Models for Text Generation: A Surveycited by 121
  7. 2023Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensionscited by 111
  8. 2023Document-Level Machine Translation with Large Language Modelscited by 90
  9. 2023Large language models effectively leverage document-level context for literary translation, but critical errors persistcited by 80
  10. 2023LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysiscited by 70
  11. 2024CroissantLLM: A Truly Bilingual French-English Language Modelcited by 52
  12. 2023Large Language Models as Superpositions of Cultural Perspectivescited by 48
15 more
  1. 2023Exploring the psychology of LLMs' Moral and Legal Reasoningcited by 43
  2. 2023Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Modelscited by 36
  3. 2023Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Modelcited by 29
  4. 2023Using Large Language Models to Support Thematic Analysis in Empirical Legal Studiescited by 24
  5. 2024Towards a Client-Centered Assessment of LLM Therapists by Client Simulationcited by 23
  6. 2024Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Reviewcited by 17
  7. 2023Can Large Language Models emulate an inductive Thematic Analysis of semi-structured interviews? An exploration and provocation on the limits of the approach and the modelcited by 15
  8. 2023Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanitiescited by 9
  9. 2023CPopQA: Ranking Cultural Concept Popularity by LLMscited by 8
  10. 2024Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3cited by 8
  11. 2024Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracitycited by 8
  12. 2023Evaluating Large Language Model Creativity from a Literary Perspectivecited by 7
  13. 2024Understanding Literary Texts by LLMs: A Case Study of Ancient Chinese Poetrycited by 4
  14. 2024Thematic Analysis with Large Language Models: does it work with languages other than English? A targeted test in Italiancited by 1
  15. 2024LFED: A Literary Fiction Evaluation Dataset for Large Language Modelscited by 1

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 2.

4 papers.

  1. 2024Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Researchcited by 26
  2. 2024Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translationcited by 12
  3. 2025Large Language Models for Bioinformaticscited by 3
  4. 2025Story Ribbons: Reimagining Storyline Visualizations with Large Language Modelscited by 1