Year: 2025
Type: conference-paper
Abstract: 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.An interactive dashboard (https://realm-e7682. web.app/) is provided for easy exploration of the dataset.
Authors: Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: Open Philanthropy Project
OpenAlex ID: W4412888400