2 papers
q-fin.GN2025
Leveraging Large Language Models to Democratize Access to Costly Datasets for Academic Research
Julian Junyan Wang, Victor Xiaoqi Wang
Unequal access to costly datasets essential for empirical research has long hindered researchers from disadvantaged institutions, limiting their ability to contribute to their fiel…
q-fin.GN2025
Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks
Julian Junyan Wang, Victor Xiaoqi Wang
This study provides the first comprehensive assessment of consistency and reproducibility in Large Language Model (LLM) outputs in finance and accounting research. We evaluate how…