A Scoping Review of ChatGPT Research in Accounting and Finance
- URL: http://arxiv.org/abs/2412.05731v1
- Date: Sat, 07 Dec 2024 19:45:46 GMT
- Title: A Scoping Review of ChatGPT Research in Accounting and Finance
- Authors: Mengming Michael Dong, Theophanis C. Stratopoulos, Victor Xiaoqi Wang,
- Abstract summary: This paper provides a review of recent publications and working papers on ChatGPT and related Large Language Models (LLMs) in accounting and finance.
The aim is to understand the current state of research in these two areas and identify potential research opportunities for future inquiry.
- Score: 0.0
- License:
- Abstract: This paper provides a review of recent publications and working papers on ChatGPT and related Large Language Models (LLMs) in accounting and finance. The aim is to understand the current state of research in these two areas and identify potential research opportunities for future inquiry. We identify three common themes from these earlier studies. The first theme focuses on applications of ChatGPT and LLMs in various fields of accounting and finance. The second theme utilizes ChatGPT and LLMs as a new research tool by leveraging their capabilities such as classification, summarization, and text generation. The third theme investigates implications of LLM adoption for accounting and finance professionals, as well as for various organizations and sectors. While these earlier studies provide valuable insights, they leave many important questions unanswered or partially addressed. We propose venues for further exploration and provide technical guidance for researchers seeking to employ ChatGPT and related LLMs as a tool for their research.
Related papers
- Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment [13.33974015427487]
Large Language Models (LLMs) have achieved remarkable success recently, displaying exceptional capabilities in creating understandable and organized text.
We will use ChatGPT, one of the most powerful LLMs recently, and prompt engineering to achieve this goal.
Our study finds that ChatGPT with CoT prompt can provide more explainable predictions and overcome behavioral biases, which is crucial in finance-related tasks and can achieve higher investment returns.
arXiv Detail & Related papers (2024-11-19T07:45:58Z) - What is the Role of Large Language Models in the Evolution of Astronomy Research? [0.0]
ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields.
These models, commonly trained on vast datasets, exhibit human-like text generation capabilities.
arXiv Detail & Related papers (2024-09-30T12:42:25Z) - LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing [106.45895712717612]
Large language models (LLMs) have shown remarkable versatility in various generative tasks.
This study focuses on the topic of LLMs assist NLP Researchers.
To our knowledge, this is the first work to provide such a comprehensive analysis.
arXiv Detail & Related papers (2024-06-24T01:30:22Z) - A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges [60.546677053091685]
Large language models (LLMs) have unlocked novel opportunities for machine learning applications in the financial domain.
We explore the application of LLMs on various financial tasks, focusing on their potential to transform traditional practices and drive innovation.
We highlight this survey for categorizing the existing literature into key application areas, including linguistic tasks, sentiment analysis, financial time series, financial reasoning, agent-based modeling, and other applications.
arXiv Detail & Related papers (2024-06-15T16:11:35Z) - ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents [21.17856299966841]
This study introduces ResearchArena, a benchmark designed to evaluate large language models (LLMs) in conducting academic surveys.
To support these opportunities, we construct an environment of 12M full-text academic papers and 7.9K survey papers.
arXiv Detail & Related papers (2024-06-13T03:26:30Z) - A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law [65.87885628115946]
Large language models (LLMs) are revolutionizing the landscapes of finance, healthcare, and law.
We highlight the instrumental role of LLMs in enhancing diagnostic and treatment methodologies in healthcare, innovating financial analytics, and refining legal interpretation and compliance strategies.
We critically examine the ethics for LLM applications in these fields, pointing out the existing ethical concerns and the need for transparent, fair, and robust AI systems.
arXiv Detail & Related papers (2024-05-02T22:43:02Z) - FinBen: A Holistic Financial Benchmark for Large Language Models [75.09474986283394]
FinBen is the first extensive open-source evaluation benchmark, including 36 datasets spanning 24 financial tasks.
FinBen offers several key innovations: a broader range of tasks and datasets, the first evaluation of stock trading, novel agent and Retrieval-Augmented Generation (RAG) evaluation, and three novel open-source evaluation datasets for text summarization, question answering, and stock trading.
arXiv Detail & Related papers (2024-02-20T02:16:16Z) - "It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's
Usage among Undergraduate Students in Computer Science [3.6936132187945923]
Large language models (LLMs) such as ChatGPT and Google Bard have garnered significant attention in the academic community.
This study adopts a student-first approach to comprehensively understand how undergraduate computer science students utilize ChatGPT.
arXiv Detail & Related papers (2023-11-16T08:10:18Z) - Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges,
and Possible Future Directions [2.5427838419316946]
Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022.
We present a comprehensive review of over 100 Scopus-indexed publications on ChatGPT.
arXiv Detail & Related papers (2023-07-26T11:10:04Z) - A Comprehensive Overview of Large Language Models [68.22178313875618]
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks.
This article provides an overview of the existing literature on a broad range of LLM-related concepts.
arXiv Detail & Related papers (2023-07-12T20:01:52Z) - Fine-grained Financial Opinion Mining: A Survey and Research Agenda [50.27357144360525]
We first define the financial opinions from both coarse-grained and fine-grained points of views, and then provide an overview on the issues already tackled.
We propose a road map of fine-grained financial opinion mining for future researches, and point out several challenges yet to explore.
arXiv Detail & Related papers (2020-05-05T01:07:07Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.