mlsanityData to 7 Oct 2026

AI Revolution on Chat Bot: Evidence from a Randomized Controlled Experiment

arXiv 2401.10956 ↗First posted 19 Jan 2024cs.HC cs.AI cs.IRcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 19 Jan 2024.

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2 of 8 references.

References · 2

  1. 2023The Impact of AI on Developer Productivity: Evidence from GitHub Copilotcited by 264
  2. 2023Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experimentcited by 35

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