mlsanityData to 7 Oct 2026

REALM: A Dataset of Real-World LLM Use Cases

arXiv 2503.18792 ↗First posted 24 Mar 2025cs.HC cs.AI cs.CLcited by 6

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Abstract (arXiv)

Large Language Models (LLMs), such as the GPT series, have driven significant industrial applications, leading to economic and societal transformations. However, a comprehensive understanding of their real-world applications remains limited. To address this, we introduce REALM, a dataset of over 94,000 LLM use cases collected from Reddit and news articles. REALM captures two key dimensions: the diverse applications of LLMs and the demographics of their users. It categorizes LLM applications and explores how users' occupations relate to the types of applications they use. By integrating real-world data, REALM offers insights into LLM adoption across different domains, providing a foundation for future research on their evolving societal roles.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 7 of its 37 references that are in the map. First posted on arXiv 24 Mar 2025.

Builds on

7 of 37 references.

References · 7

  1. 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,175
  2. 2023Bias and Fairness in Large Language Models: A Surveycited by 626
  3. 2024WildChat: 1M ChatGPT Interaction Logs in the Wildcited by 598
  4. 2025Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversationscited by 88
  5. 2023ChatGPT: A Meta-Analysis after 2.5 Monthscited by 50
  6. 2023Public Perception of Generative AI on Twitter: An Empirical Study Based on Occupation and Usagecited by 14
  7. 2023Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupationscited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 1.

6 papers.