mlsanityData to 14 Oct 2026

GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice

arXiv 2309.00649 ↗First posted 31 Aug 2023cs.CL cs.AI cs.CYcited by 7

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Abstract (arXiv)

We assess the ability of GPT -- a large language model -- to serve as a financial robo-advisor for the masses, by using a financial literacy test. Davinci and ChatGPT based on GPT-3.5 score 66% and 65% on the financial literacy test, respectively, compared to a baseline of 33%. However, ChatGPT based on GPT-4 achieves a near-perfect 99% score, pointing to financial literacy becoming an emergent ability of state-of-the-art models. We use the Judge-Advisor System and a savings dilemma to illustrate how researchers might assess advice-utilization from large language models. We also present a number of directions for future research.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 8 of its 57 references that are in the map. First posted on arXiv 31 Aug 2023.

Builds on

8 of 57 references.

References · 8

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022Training language models to follow instructions with human feedbackcited by 15,971
  3. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
  4. 2022Emergent Abilities of Large Language Modelscited by 2,512
  5. 2022Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelscited by 1,998
  6. 2023How is ChatGPT's behavior changing over time?cited by 270
  7. 2023Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Modelscited by 129
  8. 2023GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilitiescited by 22

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 1; 2026: 3.

7 papers.