most citedImproving Zero-Shot Text Matching for Financial Auditing with Large Language Models

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 2 cited

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models

Lars Hillebrand, Armin Berger, Tobias Deußer +8

Auditing financial documents is a very tedious and time-consuming process. As of today, it can already be simplified by employing AI-based solutions to recommend relevant text pass…