  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.
