REALM: A Dataset of Real-World LLM Use Cases
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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
- 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,175
- 2023Bias and Fairness in Large Language Models: A Surveycited by 626
- 2024WildChat: 1M ChatGPT Interaction Logs in the Wildcited by 598
- 2025Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversationscited by 88
- 2023ChatGPT: A Meta-Analysis after 2.5 Monthscited by 50
- 2023Public Perception of Generative AI on Twitter: An Empirical Study Based on Occupation and Usagecited by 14
- 2023Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupationscited by 6
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Citing papers per year: 2025: 5; 2026: 1.
6 papers.
- 2025A Personalized Conversational Benchmark: Towards Simulating Personalized Conversationscited by 16
- 2025Do Repetitions Matter? Strengthening Reliability in LLM Evaluationscited by 14
- 2025Show or Tell? Modeling the evolution of request-making in Human-LLM conversationscited by 3
- 2025EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preferencescited by 3
- 2025Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientationcited by 1
- 2026Future Confidence Distillation in Large Language Modelscited by 1
- 2026Future Confidence Distillation in Large Language Models8 Jul 2026
- 2025Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation4 Nov 2025
- 2025EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preferences7 Oct 2025
- 2025Do Repetitions Matter? Strengthening Reliability in LLM Evaluations28 Sep 2025
- 2025Show or Tell? Modeling the evolution of request-making in Human-LLM conversations2 Aug 2025
- 2025A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations20 May 2025