2024/01/19 by Sida Peng, Peng, Sida, Wojciech Swiatek +7
Computer Science · Medicine · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2401.10956
openalex publication_date 2024/01/19 · openalex created_date 2024/01/24 · openalex updated_date 2026/07/28
In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity. Notably, large language models (LLM), with ChatGPT-4 as an example, have drawn considerable attention. Numerous articles have examined the impact of LLM-based tools on human productivity in lab settings and designed tasks or in observational studies. Despite recent advances, field experiments applying LLM-based tools in realistic settings are limited. This paper presents the findings of a field randomized controlled trial assessing the effectiveness of LLM-based tools in providing unmonitored support services for information retrieval.